End-to-End Speech Processing Toolkit
This report presents the forensic synthetic code analysis of espnet/espnet, a Python project with 9,889 GitHub stars. SynthScan v2.0 examined 1,399,115 lines of code across 7626 source files, recording 7024 pattern matches distributed across 25 syntactic categories. The overall adjusted score of 7.8 places this repository in the Low AI signal band.
The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).
Longitudinal tracking requires multiple scan runs. Once this repository is re-scanned after new commits land, this chart will visualise how the synthetic code signal evolves over time — enabling you to detect whether AI authorship is growing, stabilising, or being actively corrected by human engineers.
Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.
This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.
The scanner identified 7024 distinct pattern matches across 25 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.
Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | egs2/misp2021/asr1/local/prepare_far_data.py | 0 | read lines from text or write lines to txt :param textpath: filepath of text :param lines_content: list of lines or none | STRING |
| HIGH | egs2/misp2021/avsr1/local/prepare_far_data.py | 0 | read lines from text or write lines to txt :param textpath: filepath of text :param lines_content: list of lines or none | STRING |
| HIGH | …2021/avsr1/local/prepare_visual_embedding_extractor.py | 0 | read lines from text or write lines to txt :param textpath: filepath of text :param lines_content: list of lines or none | STRING |
| HIGH | egs2/chime8_task1/asr1/local/da_wer_scoring.py | 0 | modified from https://github.com/pyannote/ pyannote-metrics/blob/14af03ca61527621cfc0a3ed7237cc2969681915/ pyannote/metr | STRING |
| HIGH | egs2/chime8_task1/diar_asr1/local/da_wer_scoring.py | 0 | modified from https://github.com/pyannote/ pyannote-metrics/blob/14af03ca61527621cfc0a3ed7237cc2969681915/ pyannote/metr | STRING |
| HIGH | egs2/chime7_task1/asr1/local/da_wer_scoring.py | 0 | modified from https://github.com/pyannote/ pyannote-metrics/blob/14af03ca61527621cfc0a3ed7237cc2969681915/ pyannote/metr | STRING |
| HIGH | egs2/chime7_task1/diar_asr1/local/da_wer_scoring.py | 0 | modified from https://github.com/pyannote/ pyannote-metrics/blob/14af03ca61527621cfc0a3ed7237cc2969681915/ pyannote/metr | STRING |
| HIGH | egs2/chime8_task1/asr1/local/da_wer_scoring.py | 0 | modified from https://github.com/pyannote/ pyannote-metrics/blob/14af03ca61527621cfc0a3ed7237cc2969681915/ pyannote/metr | STRING |
| HIGH | egs2/chime8_task1/diar_asr1/local/da_wer_scoring.py | 0 | modified from https://github.com/pyannote/ pyannote-metrics/blob/14af03ca61527621cfc0a3ed7237cc2969681915/ pyannote/metr | STRING |
| HIGH | egs2/chime7_task1/asr1/local/da_wer_scoring.py | 0 | modified from https://github.com/pyannote/ pyannote-metrics/blob/14af03ca61527621cfc0a3ed7237cc2969681915/ pyannote/metr | STRING |
| HIGH | egs2/chime7_task1/diar_asr1/local/da_wer_scoring.py | 0 | modified from https://github.com/pyannote/ pyannote-metrics/blob/14af03ca61527621cfc0a3ed7237cc2969681915/ pyannote/metr | STRING |
| HIGH | egs2/chime8_task1/asr1/local/da_wer_scoring.py | 0 | dump re-ordered hypothesis as json files to allow for analyze errors. this is done for each session. | STRING |
| HIGH | egs2/chime8_task1/diar_asr1/local/da_wer_scoring.py | 0 | dump re-ordered hypothesis as json files to allow for analyze errors. this is done for each session. | STRING |
| HIGH | egs2/chime7_task1/asr1/local/da_wer_scoring.py | 0 | dump re-ordered hypothesis as json files to allow for analyze errors. this is done for each session. | STRING |
| HIGH | egs2/chime7_task1/diar_asr1/local/da_wer_scoring.py | 0 | dump re-ordered hypothesis as json files to allow for analyze errors. this is done for each session. | STRING |
| HIGH | egs2/chime8_task1/asr1/local/da_wer_scoring.py | 0 | logging diarization output to the specified output folder for each session. this is useful for analyzing errors. | STRING |
| HIGH | egs2/chime8_task1/diar_asr1/local/da_wer_scoring.py | 0 | logging diarization output to the specified output folder for each session. this is useful for analyzing errors. | STRING |
| HIGH | egs2/chime7_task1/asr1/local/da_wer_scoring.py | 0 | logging diarization output to the specified output folder for each session. this is useful for analyzing errors. | STRING |
| HIGH | egs2/chime7_task1/diar_asr1/local/da_wer_scoring.py | 0 | logging diarization output to the specified output folder for each session. this is useful for analyzing errors. | STRING |
| HIGH | egs2/chime8_task1/asr1/local/extract_noises.py | 0 | extract noises from the corpus based on the non-speech regions. e.g. {} /export/corpora4/chime5/audio/train/ \\ /export/ | STRING |
| HIGH | egs2/chime8_task1/diar_asr1/local/extract_noises.py | 0 | extract noises from the corpus based on the non-speech regions. e.g. {} /export/corpora4/chime5/audio/train/ \\ /export/ | STRING |
| HIGH | egs2/chime6/asr1/local/extract_noises.py | 0 | extract noises from the corpus based on the non-speech regions. e.g. {} /export/corpora4/chime5/audio/train/ \\ /export/ | STRING |
| HIGH | egs2/chime7_task1/asr1/local/extract_noises.py | 0 | extract noises from the corpus based on the non-speech regions. e.g. {} /export/corpora4/chime5/audio/train/ \\ /export/ | STRING |
| HIGH | egs2/chime7_task1/diar_asr1/local/extract_noises.py | 0 | extract noises from the corpus based on the non-speech regions. e.g. {} /export/corpora4/chime5/audio/train/ \\ /export/ | STRING |
| HIGH | egs2/chime8_task1/asr1/local/extract_noises.py | 0 | location of the chime5 audio files. e.g. /export/corpora4/chime5/audio/train/ | STRING |
| HIGH | egs2/chime8_task1/diar_asr1/local/extract_noises.py | 0 | location of the chime5 audio files. e.g. /export/corpora4/chime5/audio/train/ | STRING |
| HIGH | egs2/chime6/asr1/local/extract_noises.py | 0 | location of the chime5 audio files. e.g. /export/corpora4/chime5/audio/train/ | STRING |
| HIGH | egs2/chime7_task1/asr1/local/extract_noises.py | 0 | location of the chime5 audio files. e.g. /export/corpora4/chime5/audio/train/ | STRING |
| HIGH | egs2/chime7_task1/diar_asr1/local/extract_noises.py | 0 | location of the chime5 audio files. e.g. /export/corpora4/chime5/audio/train/ | STRING |
| HIGH | egs2/chime8_task1/asr1/local/extract_noises.py | 0 | location of the chime5 transcriptions. e.g. /export/corpora4/chime5/transcriptions/train/ | STRING |
| HIGH | egs2/chime8_task1/diar_asr1/local/extract_noises.py | 0 | location of the chime5 transcriptions. e.g. /export/corpora4/chime5/transcriptions/train/ | STRING |
| HIGH | egs2/chime6/asr1/local/extract_noises.py | 0 | location of the chime5 transcriptions. e.g. /export/corpora4/chime5/transcriptions/train/ | STRING |
| HIGH | egs2/chime7_task1/asr1/local/extract_noises.py | 0 | location of the chime5 transcriptions. e.g. /export/corpora4/chime5/transcriptions/train/ | STRING |
| HIGH | egs2/chime7_task1/diar_asr1/local/extract_noises.py | 0 | location of the chime5 transcriptions. e.g. /export/corpora4/chime5/transcriptions/train/ | STRING |
| HIGH | egs2/chime8_task1/asr1/local/extract_noises.py | 0 | list of ids of the chime5 recordings from which noise is extracted. e.g. local/distant_audio_list | STRING |
| HIGH | egs2/chime8_task1/diar_asr1/local/extract_noises.py | 0 | list of ids of the chime5 recordings from which noise is extracted. e.g. local/distant_audio_list | STRING |
| HIGH | egs2/chime6/asr1/local/extract_noises.py | 0 | list of ids of the chime5 recordings from which noise is extracted. e.g. local/distant_audio_list | STRING |
| HIGH | egs2/chime7_task1/asr1/local/extract_noises.py | 0 | list of ids of the chime5 recordings from which noise is extracted. e.g. local/distant_audio_list | STRING |
| HIGH | egs2/chime7_task1/diar_asr1/local/extract_noises.py | 0 | list of ids of the chime5 recordings from which noise is extracted. e.g. local/distant_audio_list | STRING |
| HIGH | egs2/chime8_task1/asr1/local/get_lhotse_manifests.py | 0 | slighly modified versions of lhotse recipes scripts in https://github.com/lhotse-speech/lhotse/blob/master/lhotse/recipe | STRING |
| HIGH | egs2/chime7_task1/asr1/local/get_lhotse_manifests.py | 0 | slighly modified versions of lhotse recipes scripts in https://github.com/lhotse-speech/lhotse/blob/master/lhotse/recipe | STRING |
| HIGH | …2/chime7_task1/diar_asr1/local/get_lhotse_manifests.py | 0 | slighly modified versions of lhotse recipes scripts in https://github.com/lhotse-speech/lhotse/blob/master/lhotse/recipe | STRING |
| HIGH | egs2/chime8_task1/asr1/local/get_lhotse_manifests.py | 0 | returns the manifests which consist of the recordings and supervisions :param corpus_dir: pathlike, the path of dipco ma | STRING |
| HIGH | egs2/chime7_task1/asr1/local/get_lhotse_manifests.py | 0 | returns the manifests which consist of the recordings and supervisions :param corpus_dir: pathlike, the path of dipco ma | STRING |
| HIGH | …2/chime7_task1/diar_asr1/local/get_lhotse_manifests.py | 0 | returns the manifests which consist of the recordings and supervisions :param corpus_dir: pathlike, the path of dipco ma | STRING |
| HIGH | egs2/chime8_task1/asr1/local/gss_micrank.py | 0 | envelope variance channel selection method with (optionally) learnable per mel-band weights. | STRING |
| HIGH | egs2/chime8_task1/diar_asr1/local/gss_micrank.py | 0 | envelope variance channel selection method with (optionally) learnable per mel-band weights. | STRING |
| HIGH | egs2/chime7_task1/asr1/local/gss_micrank.py | 0 | envelope variance channel selection method with (optionally) learnable per mel-band weights. | STRING |
| HIGH | egs2/chime7_task1/diar_asr1/local/gss_micrank.py | 0 | envelope variance channel selection method with (optionally) learnable per mel-band weights. | STRING |
| HIGH | egs2/owsm_v2/s2t1/local/utils.py | 0 | merge a list of utterances to create a long utterance. | STRING |
| HIGH | egs2/owsm_v4/s2t1/local/utils.py | 0 | merge a list of utterances to create a long utterance. | STRING |
| HIGH | egs2/owsm_v3/s2t1/local/utils.py | 0 | merge a list of utterances to create a long utterance. | STRING |
| HIGH | egs2/owsm_v1/s2t1/local/utils.py | 0 | merge a list of utterances to create a long utterance. | STRING |
| HIGH | egs2/owsm_v2/s2t1/local/utils.py | 0 | generate a list of long utterances from a list of short utterances. | STRING |
| HIGH | egs2/owsm_v4/s2t1/local/utils.py | 0 | generate a list of long utterances from a list of short utterances. | STRING |
| HIGH | egs2/owsm_v3/s2t1/local/utils.py | 0 | generate a list of long utterances from a list of short utterances. | STRING |
| HIGH | egs2/owsm_v1/s2t1/local/utils.py | 0 | generate a list of long utterances from a list of short utterances. | STRING |
| HIGH | egs2/pjs/svs1/local/prep_segments_from_xml.py | 0 | generate segments according to structured musicxml. | STRING |
| HIGH | egs2/itako/svs1/local/prep_segments_from_xml.py | 0 | generate segments according to structured musicxml. | STRING |
| HIGH | …EMPLATE/asr1/pyscripts/utils/prep_segments_from_xml.py | 0 | generate segments according to structured musicxml. | STRING |
| 330 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | docker/run.sh | 91 | # Check if image exists in the system and download if required | COMMENT |
| LOW | test/espnet2/bin/test_tts_batch_inference.py | 96 | # Check if the model supports batch inference | COMMENT |
| LOW | utils/eval_perm_free_error.py | 216 | # Print results | COMMENT |
| LOW | utils/dump.sh | 87 | # Write the filetype, this will be used for data2json.sh | COMMENT |
| LOW | utils/make_fbank.sh | 162 | # Write the filetype, this will be used for data2json.sh | COMMENT |
| LOW | utils/make_stft.sh | 144 | # Write the filetype, this will be used for data2json.sh | COMMENT |
| LOW | utils/eval-source-separation.py | 302 | # Open files in write mode | COMMENT |
| LOW | utils/convert_fbank.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW⚡ | utils/apply_code_fixes.py | 209 | # Read the file | COMMENT |
| LOW | utils/apply_code_fixes.py | 425 | # Check if pycodestyle is installed | COMMENT |
| LOW | egs2/primewords_chinese/asr1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/primewords_chinese/asr1/asr.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/primewords_chinese/asr1/local/data.sh | 6 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/librilight_limited/asr1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/librilight_limited/asr1/asr.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/librilight_limited/asr1/local/data.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/misp2021/asr1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/misp2021/asr1/asr.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/misp2021/avsr1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/misp2021/avsr1/asr.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/easycom/avsr1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/easycom/avsr1/asr.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/easycom/avsr1/local/data.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/coraal/asr1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/coraal/asr1/asr.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/coraal/asr1/local/data.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/whamr/enh1/enh.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/whamr/enh1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/whamr/enh1/local/whamr_data_prep.sh | 26 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/kising/svs1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/kising/svs1/svs.sh | 5 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/conferencingspeech21/enh1/enh.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/conferencingspeech21/enh1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/kn_openslr126/asr1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/kn_openslr126/asr1/asr.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/chime8_task1/asr1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/chime8_task1/asr1/asr.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/chime8_task1/diar_asr1/run_gss_asr.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/chime8_task1/diar_asr1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/chime8_task1/diar_asr1/asr.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/covost2/mt1/mt.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/covost2/mt1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/covost2/mt1/local/data.sh | 37 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/covost2/asr1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/covost2/asr1/asr.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/covost2/asr1/local/data.sh | 37 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/covost2/st1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/covost2/st1/st.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/covost2/st1/local/data.sh | 37 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/multimed_st/s2t1/s2t.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/ami/asr1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/ami/asr1/asr.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/ami/asr1/local/data.sh | 4 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/namine_ritsu_utagoe_db/svs1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/namine_ritsu_utagoe_db/svs1/svs.sh | 5 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/owsm_v2/s2t1/dump.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/owsm_v2/s2t1/s2t.sh | 3 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/owsm_v2/s2t1/run.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | …owsm_v2/s2t1/local/prepare_multilingual_librispeech.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| LOW | egs2/owsm_v2/s2t1/local/prepare_tedlium_filtered.sh | 2 | # Set bash to 'debug' mode, it will exit on : | COMMENT |
| 935 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | tools/installers/install_vidaug.sh | 1 | #!/bin/bash | COMMENT |
| LOW | tools/installers/install_openface.sh | 1 | #!/bin/bash | COMMENT |
| LOW | tools/installers/install_deepxi.sh | 1 | #!/bin/bash | COMMENT |
| LOW | test/espnet3/parallel/test_parallel.py | 21 | ) | COMMENT |
| LOW | test/espnet3/parallel/test_parallel.py | 41 | # | test_parallel_for_streaming_yields_results | Confirms parallel_for yields | | COMMENT |
| LOW | test/espnet3/parallel/test_parallel.py | 61 | # |--------------------------------------------------|---------------------------------| | COMMENT |
| LOW | test/espnet3/utils/test_config.py | 21 | ) | COMMENT |
| LOW | test/espnet3/utils/test_config.py | 41 | # | test_config_with_one_include | Includes one external config file via `defaults` | # noqa: E501 | COMMENT |
| LOW | test/espnet3/utils/test_config.py | 601 | # =============================================================== | COMMENT |
| LOW | test/espnet3/components/callbacks/test_callback.py | 21 | # | Test Name | Description | | COMMENT |
| LOW | test/espnet3/components/modeling/test_model.py | 21 | # |-----------------------------------|--------------------------------------------------------------------------| # noq | COMMENT |
| LOW | test/espnet3/components/trainers/test_trainer.py | 21 | # Test Case Summary for ESPnet3LightningTrainer | COMMENT |
| LOW | test/espnet3/components/data/test_dataloader_builder.py | 21 | # | test_sampler_and_batch_sampler_conflict | Raises when sampler and batch_sampler are both set | | COMMENT |
| LOW | test/espnet3/components/data/test_data_organizer.py | 21 | # =============================================================== | COMMENT |
| LOW | test/espnet3/components/data/test_data_organizer.py | 41 | # | test_espnet_preprocessor_without_transform | Uses only ESPnet-style preprocessor | | COMMENT |
| LOW | test/espnet3/components/data/test_data_organizer.py | 61 | # | | as preprocessor | | COMMENT |
| LOW | test/espnet3/components/data/test_collect_stats.py | 21 | COMMENT | |
| LOW | utils/queue-freegpu.pl | 1 | #!/usr/bin/env perl | COMMENT |
| LOW | utils/queue-freegpu.pl | 21 | # and a set of command line options. | COMMENT |
| LOW | utils/queue-freegpu.pl | 41 | # 5) Default behavior | COMMENT |
| LOW | utils/stdout.pl | 1 | #!/usr/bin/env perl | COMMENT |
| LOW | utils/gdown.pl | 1 | #!/usr/bin/env perl | COMMENT |
| LOW | egs3/TEMPLATE/asr/readme.md | 1 | # ESPnet3 ASR recipe | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/demo.yaml | 1 | ########################################################## | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/demo.yaml | 21 | # model(sample, **call_args) | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/demo.yaml | 61 | ########################################################## | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/demo.yaml | 101 | COMMENT | |
| LOW | egs3/TEMPLATE/asr/conf/training.yaml | 1 | ########################################################## | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/training.yaml | 21 | # If unset, `model` is instantiated directly via Hydra. | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/training.yaml | 41 | dataset_dir: /path/to/your/dataset | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/training.yaml | 61 | # Each dataset entry supports: | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/training.yaml | 81 | # data_src_args: | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/training.yaml | 101 | recipe_dir: ${recipe_dir} | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/training.yaml | 141 | scheduler_monitor: # e.g. `valid/loss` for monitored epoch schedulers | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/training.yaml | 161 | # step_every_n_iters: 1 # only step on every N-th training iteration | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/training.yaml | 181 | # - In the multiple-optimizer path, do not use trainer-level | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/metrics.yaml | 1 | ########################################################## | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/inference.yaml | 1 | ########################################################## | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/inference.yaml | 21 | # Override `inference_dir` only when you want a different output location. | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/inference.yaml | 41 | # - `transform` is optional and runs before `preprocessor` | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/inference.yaml | 81 | # If `dataset[i]` returns `{"speech": ..., "text": ..., "utt_id": ...}` and | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/inference.yaml | 101 | # This value becomes the first column in generated SCP files and is used to map | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/inference.yaml | 121 | output_fn: | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/inference.yaml | 141 | # output_artifacts: | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/publication.yaml | 1 | ########################################################## | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/publication.yaml | 21 | # - `pack_model` also receives `inference_config` and `metrics_config` when | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/publication.yaml | 41 | # in `meta.yaml` under the given key. `exclude` does NOT apply here, so | COMMENT |
| LOW | egs3/TEMPLATE/asr/conf/publication.yaml | 81 | # Upload uses `huggingface_hub` with your local Hugging Face login. | COMMENT |
| LOW | egs3/mini_an4/asr/conf/demo.yaml | 1 | ########################################################## | COMMENT |
| LOW | egs3/mini_an4/asr/conf/training.yaml | 1 | ########################################################## | COMMENT |
| LOW | egs3/mini_an4/asr/conf/metrics.yaml | 1 | ########################################################## | COMMENT |
| LOW | egs3/mini_an4/asr/conf/inference_transducer.yaml | 1 | ########################################################## | COMMENT |
| LOW | egs3/mini_an4/asr/conf/inference_transducer.yaml | 21 | ########################################################## | COMMENT |
| LOW | egs3/mini_an4/asr/conf/training_asr_transformer.yaml | 1 | ########################################################## | COMMENT |
| LOW | egs3/mini_an4/asr/conf/inference.yaml | 1 | ########################################################## | COMMENT |
| LOW | egs3/mini_an4/asr/conf/inference.yaml | 21 | ########################################################## | COMMENT |
| LOW | egs3/mini_an4/asr/conf/training_asr_transducer.yaml | 1 | ########################################################## | COMMENT |
| LOW | …4/asr/conf/training_transducer_asr_conformer_rnnt.yaml | 1 | ########################################################## | COMMENT |
| LOW | egs3/mini_an4/asr/conf/training_asr_streaming.yaml | 1 | ########################################################## | COMMENT |
| LOW | egs2/primewords_chinese/asr1/cmd.sh | 1 | # ====== About run.pl, queue.pl, slurm.pl, and ssh.pl ====== | COMMENT |
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| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | test/egs3/TEMPLATE/asr/test_run.py | 9 | def test_load_default_config_train_contains_expected_targets() -> None: | CODE |
| LOW | test/egs3/TEMPLATE/asr/test_run.py | 19 | def test_load_default_config_infer_contains_expected_targets() -> None: | CODE |
| LOW | test/egs3/TEMPLATE/asr/test_run.py | 31 | def test_load_and_merge_config_user_overrides_template_defaults(tmp_path: Path) -> None: | CODE |
| LOW | test/egs3/TEMPLATE/asr/test_run.py | 59 | def test_load_and_merge_demo_config_inherits_template_readme( | CODE |
| LOW | test/egs3/TEMPLATE/asr/test_run.py | 91 | def test_load_and_merge_config_none_path_returns_none() -> None: | CODE |
| LOW | test/espnet3/demo/test_pack.py | 16 | def test_pack_demo_writes_assets( | CODE |
| LOW | test/espnet3/demo/test_pack.py | 60 | def test_pack_demo_writes_requirements_txt( | CODE |
| LOW | test/espnet3/demo/test_pack.py | 93 | def test_pack_demo_skips_requirements_txt_when_not_configured( | CODE |
| LOW | test/espnet3/demo/test_pack.py | 116 | def test_pack_demo_skips_description_copy_when_ui_description_is_missing( | CODE |
| LOW | test/espnet3/demo/test_pack.py | 150 | def test_pack_demo_supports_exclude_patterns_for_included_dirs( | CODE |
| LOW | test/espnet3/demo/test_pack.py | 196 | def test_pack_demo_expands_globbed_include_paths( | CODE |
| LOW | test/espnet3/demo/test_pack.py | 238 | def test_pack_demo_renders_space_readme( | CODE |
| LOW | test/espnet3/demo/test_pack.py | 362 | def test_template_demo_yaml_defaults_update_false_and_delete_patterns( | CODE |
| LOW | test/espnet3/demo/test_pack.py | 371 | def test_upload_demo_update_true_passes_exist_ok_and_delete_patterns( | CODE |
| LOW | test/espnet3/demo/test_pack.py | 398 | def test_upload_demo_raises_on_existing_space_without_update( | CODE |
| LOW | test/espnet3/demo/test_pack.py | 426 | def test_upload_demo_empty_delete_patterns_passes_none_to_upload_folder( | CODE |
| LOW | test/espnet3/demo/test_app_builder.py | 61 | def test_build_demo_with_custom_provider(tmp_path: Path) -> None: | CODE |
| LOW | test/espnet3/demo/test_app_builder.py | 93 | def test_build_demo_uses_inline_description(tmp_path: Path) -> None: | CODE |
| LOW | test/espnet3/demo/test_app_builder.py | 123 | def test_default_assets_pass_through_inputs_and_outputs(tmp_path: Path) -> None: | CODE |
| LOW | test/espnet3/demo/test_app_builder.py | 165 | def test_create_inference_fn_accepts_explicit_key_lists(tmp_path: Path) -> None: | CODE |
| LOW | test/espnet3/demo/test_app_builder.py | 195 | def test_demo_main_writes_demo_log(monkeypatch, tmp_path: Path) -> None: | CODE |
| LOW | test/espnet3/demo/test_app_builder.py | 234 | def test_default_text_ui_requires_gradio(monkeypatch) -> None: | CODE |
| LOW | test/espnet3/demo/test_app_builder.py | 241 | def test_default_assets_use_only_label(monkeypatch) -> None: | CODE |
| LOW | test/espnet3/demo/test_app_builder.py | 279 | def test_build_input_component_requires_type(tmp_path: Path) -> None: | CODE |
| LOW | test/espnet3/demo/test_app_builder.py | 308 | def test_build_demo_model_loads_pretrained_tag(monkeypatch, tmp_path: Path) -> None: | CODE |
| LOW | test/espnet3/parallel/test_inference_runner.py | 193 | def test_image_output_type_unsupported(tmp_path): | CODE |
| LOW | test/espnet3/parallel/test_inference_runner.py | 208 | def test_streaming_on_example(test_audio_paths): | CODE |
| LOW | test/espnet3/parallel/test_inference_runner.py | 219 | def test_streaming_chunked_processing_manual(test_audio_paths): | CODE |
| LOW | test/espnet3/parallel/test_inference_runner.py | 249 | def test_streaming_chunk_count(test_audio_paths, chunk_sec, expected_min_chunks): | CODE |
| LOW | test/espnet3/parallel/test_inference_runner.py | 293 | def _patch_parallel_client_no_submit(monkeypatch, n_workers: int = 2): | CODE |
| LOW | test/espnet3/parallel/test_inference_runner.py | 328 | def _fake_get_parallel_config(): | CODE |
| LOW | test/espnet3/parallel/test_inference_runner.py | 357 | async def _fake_run_async_return_none(self, indices): | CODE |
| LOW | test/espnet3/parallel/test_inference_runner.py | 383 | def test_async_jsonl_offline_with_base_runner(test_audio_paths, tmp_path, monkeypatch): | CODE |
| LOW | test/espnet3/parallel/test_inference_runner.py | 409 | def test_async_jsonl_streaming_with_base_runner( | CODE |
| LOW | test/espnet3/parallel/test_base_runner_batch.py | 31 | def test_batch_size_chunks_indices(): | CODE |
| LOW | test/espnet3/parallel/test_base_runner_batch.py | 38 | def test_batch_size_rejects_non_positive(): | CODE |
| LOW | test/espnet3/parallel/test_base_runner_batch.py | 52 | def test_forward_used_when_batch_size_set(): | CODE |
| LOW | test/espnet3/parallel/test_base_runner_batch.py | 65 | def test_forward_used_when_batch_size_is_none(): | CODE |
| LOW⚡ | test/espnet3/parallel/test_parallel.py | 117 | def test_set_parallel_copies_options_dict(local_cfg): | CODE |
| LOW⚡ | test/espnet3/parallel/test_parallel.py | 127 | def test_set_and_get_parallel_config(local_cfg): | CODE |
| LOW⚡ | test/espnet3/parallel/test_parallel.py | 183 | def test_parallel_for_streaming_yields_results(local_cfg): | CODE |
| LOW⚡ | test/espnet3/parallel/test_parallel.py | 227 | def test_worker_env_injection_via_setup_fn(local_cfg): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 150 | def test_get_client_context_manager_and_parallel_map(set_global_parallel): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 158 | def test_parallel_map_internal_client(local_cfg, monkeypatch): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 198 | def test_parallel_map_preserves_input_order(local_cfg): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 209 | def test_parallel_for_completion_order(local_cfg): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 242 | def test_parallel_map_auto_inject_env_via_setup_fn(local_cfg): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 255 | def test_parallel_for_auto_inject_env_via_setup_fn_without_with(local_cfg): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 274 | def test_wrap_env_filters_unknown_keys(local_cfg): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 287 | def test_parallel_map_registers_setup_fn_when_passed_directly(local_cfg): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 299 | def test_parallel_for_registers_setup_fn_when_passed_directly(local_cfg): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 314 | def test_worker_env_conflict_detection(local_cfg): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 332 | def test_worker_env_conflict_detection_parallel_for(local_cfg): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 347 | def test_build_local_gpu_cluster_import_guard(monkeypatch): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 356 | def test_get_client_context_auto_shutdown(local_cfg, monkeypatch): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 390 | def test_get_client_registers_setup_fn_via_register_plugin_fallback( | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 418 | def test_build_client_unknown_env_raises(local_cfg): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 425 | def test_build_client_kube_import_guard(monkeypatch, local_cfg): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 436 | def test_worker_plugin_setup_must_return_dict(): | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 443 | def test_parallel_map_registers_setup_fn_via_register_plugin_fallback(monkeypatch): | CODE |
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| MEDIUM | tools/installers/install_vidaug.sh | 2 | #============================================================================== | COMMENT |
| MEDIUM | tools/installers/install_vidaug.sh | 11 | #============================================================================== | COMMENT |
| MEDIUM | tools/installers/install_openface.sh | 2 | #============================================================================== | COMMENT |
| MEDIUM | tools/installers/install_openface.sh | 14 | #============================================================================== | COMMENT |
| MEDIUM | tools/installers/install_deepxi.sh | 2 | #============================================================================== | COMMENT |
| MEDIUM | tools/installers/install_deepxi.sh | 12 | #============================================================================== | COMMENT |
| MEDIUM | test/espnet3/demo/test_pack.py | 321 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | test/espnet3/demo/test_pack.py | 323 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | test/espnet3/parallel/test_inference_runner.py | 149 | # =============================================================== | COMMENT |
| MEDIUM | test/espnet3/parallel/test_inference_runner.py | 151 | # =============================================================== | COMMENT |
| MEDIUM⚡ | test/espnet3/parallel/test_parallel.py | 112 | # ------------------------------------------------------------ | COMMENT |
| MEDIUM⚡ | test/espnet3/parallel/test_parallel.py | 114 | # ------------------------------------------------------------ | COMMENT |
| MEDIUM⚡ | test/espnet3/parallel/test_parallel.py | 135 | # ------------------------------------------------------------ | COMMENT |
| MEDIUM⚡ | test/espnet3/parallel/test_parallel.py | 137 | # ------------------------------------------------------------ | COMMENT |
| MEDIUM⚡ | test/espnet3/parallel/test_parallel.py | 178 | # ------------------------------------------------------------ | COMMENT |
| MEDIUM⚡ | test/espnet3/parallel/test_parallel.py | 180 | # ------------------------------------------------------------ | COMMENT |
| MEDIUM⚡ | test/espnet3/parallel/test_parallel.py | 221 | # ------------------------------------------------------------ | COMMENT |
| MEDIUM⚡ | test/espnet3/parallel/test_parallel.py | 223 | # ------------------------------------------------------------ | COMMENT |
| MEDIUM | test/espnet3/parallel/test_parallel.py | 25 | # =============================================================== | COMMENT |
| MEDIUM | test/espnet3/parallel/test_parallel.py | 27 | # =============================================================== | COMMENT |
| MEDIUM⚡ | test/espnet3/publication/test_inference_model.py | 160 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/publication/test_inference_model.py | 162 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/publication/test_inference_model.py | 175 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/publication/test_inference_model.py | 177 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/publication/test_inference_model.py | 266 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/publication/test_inference_model.py | 268 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/publication/test_inference_model.py | 316 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/publication/test_inference_model.py | 318 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/publication/test_inference_model.py | 354 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/publication/test_inference_model.py | 356 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/publication/test_inference_model.py | 380 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/publication/test_inference_model.py | 382 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/publication/test_inference_model.py | 426 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/publication/test_inference_model.py | 428 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/publication/test_inference_model.py | 477 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/publication/test_inference_model.py | 479 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | test/espnet3/utils/test_task_utils.py | 17 | # =============================================================== | COMMENT |
| MEDIUM | test/espnet3/utils/test_task_utils.py | 19 | # =============================================================== | COMMENT |
| MEDIUM | test/espnet3/utils/test_config.py | 23 | # =============================================================== | COMMENT |
| MEDIUM | test/espnet3/utils/test_config.py | 25 | # =============================================================== | COMMENT |
| MEDIUM⚡ | test/espnet3/utils/test_config.py | 601 | # =============================================================== | STRING |
| MEDIUM⚡ | test/espnet3/utils/test_config.py | 603 | # =============================================================== | STRING |
| MEDIUM⚡ | test/espnet3/utils/test_publish.py | 45 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/utils/test_publish.py | 47 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/utils/test_publish.py | 113 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/utils/test_publish.py | 115 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/utils/test_publish.py | 232 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/utils/test_publish.py | 234 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/utils/test_publish.py | 275 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/utils/test_publish.py | 277 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/utils/test_publish.py | 943 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/utils/test_publish.py | 945 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/utils/test_publish.py | 1010 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/utils/test_publish.py | 1012 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/utils/test_publish.py | 1165 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | test/espnet3/utils/test_publish.py | 1167 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | test/espnet3/components/callbacks/test_callback.py | 16 | # =============================================================== | COMMENT |
| MEDIUM | test/espnet3/components/callbacks/test_callback.py | 18 | # =============================================================== | COMMENT |
| MEDIUM | test/espnet3/components/modeling/test_model.py | 15 | # =============================================================== | COMMENT |
| MEDIUM | test/espnet3/components/modeling/test_model.py | 17 | # =============================================================== | COMMENT |
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| LOW | tools/check_install.py | 15 | CODE | |
| LOW | tools/check_install.py | 96 | CODE | |
| LOW | test/espnet3/conftest.py | 56 | CODE | |
| LOW | test/espnet3/demo/test_pack.py | 1 | CODE | |
| LOW | test/espnet3/demo/test_app_builder.py | 1 | CODE | |
| LOW | test/espnet3/parallel/test_inference_runner.py | 2 | CODE | |
| LOW | test/espnet3/publication/test_inference_model.py | 1 | CODE | |
| LOW | test/espnet3/utils/test_writer_utils.py | 1 | CODE | |
| LOW | test/espnet3/utils/test_logging.py | 1 | CODE | |
| LOW | test/espnet3/utils/test_publish.py | 1 | CODE | |
| LOW | test/espnet3/systems/asr/metrics/test_metrics.py | 24 | CODE | |
| LOW | test/espnet3/systems/asr/metrics/test_metrics.py | 42 | CODE | |
| LOW | test/espnet3/systems/asr/metrics/test_metrics.py | 60 | CODE | |
| LOW | test/espnet2/layers/test_houlsby_adapter_layer.py | 8 | CODE | |
| LOW | test/espnet2/layers/test_houlsby_adapter_layer.py | 9 | CODE | |
| LOW | test/espnet2/bin/test_macos_mps_model.py | 4 | CODE | |
| LOW | test/espnet2/bin/test_macos_mps_model.py | 4 | CODE | |
| LOW | …net2/gan_tts/parallel_wavegan/test_parallel_wavegan.py | 130 | CODE | |
| LOW | …net2/gan_tts/parallel_wavegan/test_parallel_wavegan.py | 143 | CODE | |
| LOW | test/espnet2/gan_tts/hifigan/test_hifigan.py | 178 | CODE | |
| LOW | test/espnet2/gan_tts/hifigan/test_hifigan.py | 190 | CODE | |
| LOW | test/espnet2/gan_tts/style_melgan/test_style_melgan.py | 117 | CODE | |
| LOW | test/espnet2/gan_tts/style_melgan/test_style_melgan.py | 129 | CODE | |
| LOW | test/espnet2/gan_tts/melgan/test_melgan.py | 127 | CODE | |
| LOW | test/espnet2/gan_tts/melgan/test_melgan.py | 139 | CODE | |
| LOW | test/espnet2/asr/test_ctc.py | 44 | CODE | |
| LOW | test/espnet2/gan_codec/test_dac.py | 6 | CODE | |
| LOW | test/espnet2/gan_codec/test_soundstream.py | 6 | CODE | |
| LOW | test/espnet2/gan_codec/test_funcodec.py | 6 | CODE | |
| LOW | test/espnet2/gan_codec/test_encodec.py | 6 | CODE | |
| LOW | test/espnet2/gan_svs/visinger/test_visinger_plus.py | 8 | CODE | |
| LOW | test/espnet2/gan_svs/visinger/test_visinger_plus.py | 237 | CODE | |
| LOW | test/espnet2/gan_svs/visinger/test_visinger_plus.py | 429 | CODE | |
| LOW | test/espnet2/gan_svs/visinger/test_visinger.py | 8 | CODE | |
| LOW | test/espnet2/gan_svs/visinger/test_visinger.py | 892 | CODE | |
| LOW | test/espnet2/gan_svs/visinger/test_visinger.py | 1081 | CODE | |
| LOW | test/espnet2/speechlm/model/conftest.py | 22 | CODE | |
| LOW | test/espnet2/speechlm/trainer/conftest.py | 124 | CODE | |
| LOW | test/espnet2/speechlm/trainer/conftest.py | 125 | CODE | |
| LOW | test_utils/patch_demo_config.py | 7 | CODE | |
| LOW | test_utils/egs3/integration_test/asr/src/app_image.py | 3 | CODE | |
| LOW | …ion/demo_test_model_pack_default/demo_test_provider.py | 1 | CODE | |
| LOW | …tion/demo_test_model_pack_custom/demo_test_provider.py | 1 | CODE | |
| LOW | ci/test_import_all.py | 8 | CODE | |
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| LOW | ci/test_integration_espnet3_publication_check.py | 5 | CODE | |
| LOW | ci/test_demo_ui.py | 1 | CODE | |
| LOW | egs3/TEMPLATE/asr/run.py | 4 | CODE | |
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| LOW | egs3/mini_an4/asr/dataset/__init__.py | 3 | CODE | |
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| LOW | egs2/misp2021/avsr1/local/prepare_far_video_roi.py | 8 | CODE | |
| LOW | egs2/misp2021/avsr1/local/prepare_far_video_roi.py | 12 | CODE | |
| 649 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | tools/check_install.py | 60 | CODE | |
| LOW | test/espnet3/parallel/test_inference_runner.py | 121 | CODE | |
| LOW | test/espnet2/enh/separator/test_beamformer.py | 81 | CODE | |
| LOW | test/espnet2/legacy/test_subsampling.py | 112 | CODE | |
| LOW | test/espnet2/legacy/test_nets_utils.py | 57 | CODE | |
| LOW | test/espnet2/train/test_dataset.py | 11 | CODE | |
| LOW | test/espnet2/train/test_iterable_dataset.py | 11 | CODE | |
| LOW | …st/espnet2/gan_svs/visinger/test_visinger_generator.py | 96 | CODE | |
| LOW | …st/espnet2/gan_svs/visinger/test_visinger_generator.py | 274 | CODE | |
| LOW | test/espnet2/text/test_phoneme_tokenizer.py | 81 | CODE | |
| LOW | …/espnet2/iterators/test_category_chunk_iter_factory.py | 22 | CODE | |
| LOW | test/espnet2/iterators/test_chunk_iter_factory.py | 22 | CODE | |
| LOW | test/espnet2/iterators/test_chunk_iter_factory.py | 99 | CODE | |
| LOW | test_utils/egs3/integration_test/asr/src/app_image.py | 17 | CODE | |
| LOW | ci/test_demo_ui.py | 39 | CODE | |
| LOW | ci/test_demo_ui.py | 116 | CODE | |
| LOW | utils/eval_perm_free_error.py | 89 | CODE | |
| LOW | utils/calculate_rtf.py | 63 | CODE | |
| LOW | utils/json2sctm.py | 30 | CODE | |
| LOW | utils/text2token.py | 68 | CODE | |
| LOW | utils/eval-source-separation.py | 75 | CODE | |
| LOW | utils/eval-source-separation.py | 244 | CODE | |
| LOW | utils/trn2ctm.py | 24 | CODE | |
| LOW | utils/average_checkpoints.py | 11 | CODE | |
| LOW | utils/apply_code_fixes.py | 79 | CODE | |
| LOW | utils/apply_code_fixes.py | 185 | CODE | |
| LOW | utils/apply_code_fixes.py | 385 | CODE | |
| LOW | utils/change_yaml.py | 35 | CODE | |
| LOW | egs3/mini_an4/asr/dataset/builder.py | 156 | CODE | |
| LOW | egs2/misp2021/asr1/local/prepare_far_data.py | 358 | CODE | |
| LOW | egs2/misp2021/asr1/local/prepare_far_data.py | 92 | CODE | |
| LOW | egs2/misp2021/asr1/local/run_wpe.py | 14 | CODE | |
| LOW | egs2/misp2021/avsr1/local/prepare_far_data.py | 358 | CODE | |
| LOW | egs2/misp2021/avsr1/local/prepare_far_data.py | 92 | CODE | |
| LOW | egs2/misp2021/avsr1/local/prepare_far_video_roi.py | 55 | CODE | |
| LOW | egs2/misp2021/avsr1/local/prepare_far_video_roi.py | 247 | CODE | |
| LOW | egs2/misp2021/avsr1/local/run_wpe.py | 14 | CODE | |
| LOW | egs2/easycom/avsr1/local/extract_av_feature.py | 95 | CODE | |
| LOW | egs2/easycom/avsr1/local/scp_gen.py | 6 | CODE | |
| LOW | egs2/easycom/avsr1/local/preprocessing.py | 26 | CODE | |
| LOW | egs2/coraal/asr1/local/snippet_generation.py | 115 | CODE | |
| LOW | egs2/coraal/asr1/local/text_normalization.py | 18 | CODE | |
| LOW | egs2/kising/svs1/local/data_prep.py | 173 | CODE | |
| LOW | …2/conferencingspeech21/enh1/local/prepare_data_list.py | 11 | CODE | |
| LOW | egs2/chime8_task1/asr1/local/da_wer_scoring.py | 247 | CODE | |
| LOW | egs2/chime8_task1/asr1/local/get_lhotse_manifests.py | 23 | CODE | |
| LOW | egs2/chime8_task1/asr1/local/get_lhotse_manifests.py | 207 | CODE | |
| LOW | egs2/chime8_task1/asr1/local/get_lhotse_manifests.py | 355 | CODE | |
| LOW | egs2/chime8_task1/diar_asr1/local/da_wer_scoring.py | 247 | CODE | |
| LOW | egs2/chime8_task1/diar_asr1/local/pyannote_diarize.py | 41 | CODE | |
| LOW | egs2/chime8_task1/diar_asr1/local/pyannote_dprep.py | 38 | CODE | |
| LOW | egs2/multimed_st/s2t1/local/prepare_multimed_st.py | 80 | CODE | |
| LOW | egs2/owsm_v2/s2t1/local/prepare_wenetspeech.py | 25 | CODE | |
| LOW | egs2/owsm_v2/s2t1/local/prepare_gigast.py | 25 | CODE | |
| LOW | egs2/owsm_v2/s2t1/local/prepare_tedlium_filtered.py | 66 | CODE | |
| LOW | egs2/kosp2e/asr1/local/setup_data.py | 10 | CODE | |
| LOW | egs2/dns_icassp22/enh1/local/noisyspeech_synthesizer.py | 336 | CODE | |
| LOW | egs2/owsm_v4/s2t1/local/lid.py | 103 | CODE | |
| LOW | egs2/seame/asr1/local/preprocess.py | 186 | CODE | |
| LOW | egs2/seame/asr1/local/preprocess.py | 357 | CODE | |
| 527 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | egs3/mini_an4/asr/dataset/builder.py | 62 | Check whether raw AN4 source files are already available. Args: recipe_dir: Recipe root directory. | STRING |
| HIGH | egs3/mini_an4/asr/dataset/builder.py | 90 | Prepare raw AN4 source data under ``dataset_path``. Args: recipe_dir: Recipe root directory. | STRING |
| HIGH | egs3/mini_an4/asr/dataset/builder.py | 130 | Check whether task-ready manifest files are already built. Args: recipe_dir: Recipe root directory. | STRING |
| HIGH | egs3/mini_an4/asr/dataset/builder.py | 157 | Build train/valid/test manifests and converted WAV files. Args: recipe_dir: Recipe root directory. | STRING |
| HIGH | egs2/spoken_chatbot_arena/sds1/app.py | 166 | Handles the evaluation of a selected metric based on user input and provided outputs. This function evalua | STRING |
| HIGH | egs2/spoken_chatbot_arena/sds1/app.py | 268 | Handles the evaluation of a selected metric based on user input and provided outputs. This function evalua | STRING |
| HIGH | egs2/spoken_chatbot_arena/sds1/app.py | 426 | Processes and transcribes an audio stream in real-time. This function handles the transcription of audio input | STRING |
| HIGH | egs2/TEMPLATE/sds1/app.py | 166 | Handles the evaluation of a selected metric based on user input and provided outputs. This function evalua | STRING |
| HIGH | egs2/TEMPLATE/sds1/app.py | 268 | Handles the evaluation of a selected metric based on user input and provided outputs. This function evalua | STRING |
| HIGH | egs2/TEMPLATE/sds1/app.py | 426 | Processes and transcribes an audio stream in real-time. This function handles the transcription of audio input | STRING |
| HIGH | …sr1/pyscripts/utils/dialog_eval/TTS_intelligibility.py | 11 | Compute and return Word Error Rate (WER) and Character Error Rate (CER) metrics for multiple ASR systems (ESPne | STRING |
| HIGH | …asr1/pyscripts/utils/dialog_eval/TTS_speech_quality.py | 9 | Compute and return speech quality metrics for the given synthesized audio output using the Versa library. | STRING |
| HIGH | …MPLATE/asr1/pyscripts/utils/dialog_eval/LLM_Metrics.py | 17 | Compute the perplexity of the given text using a specified model from the `evaluate` library (default: GPT-2). | STRING |
| HIGH | …2/TEMPLATE/asr1/pyscripts/utils/dialog_eval/ASR_WER.py | 11 | Compute and return Word Error Rate (WER) and Character Error Rate (CER) metrics for multiple judge ASR systems | STRING |
| HIGH | espnet3/parallel/base_runner.py | 176 | Compute items for the given index or batch (to be implemented by subclasses). Keep this as a ``@staticmethod`` | STRING |
| HIGH | espnet3/parallel/base_runner.py | 223 | Run sequentially on the driver using a locally built environment. Args: indices (Sequence[int]): In | STRING |
| HIGH | espnet3/parallel/base_runner.py | 240 | Run with synchronous Dask mapping using per-worker environments. Args: indices (Sequence[int]): Ind | STRING |
| HIGH | espnet3/parallel/base_runner.py | 268 | Submit shards to a Dask cluster and gather or write results. Workflow: 1) Emit per-shard JSON specs | STRING |
| HIGH | espnet3/parallel/base_runner.py | 352 | Dispatch execution according to the configured parallel mode. Args: indices (Iterable[int]): Indice | STRING |
| HIGH | espnet3/parallel/base_runner.py | 388 | Worker entrypoint: reconstruct runner/provider and process indices. This function is executed on a Dask worker. It | STRING |
| HIGH | espnet3/parallel/parallel.py | 237 | Wrap a user-defined function for a WorkerPlugin. This wrapper inspects the function's signature and automatically | STRING |
| HIGH | espnet3/parallel/parallel.py | 406 | Apply a function to an iterable of inputs in parallel using Dask. This helper takes care of: - Creating (or r | STRING |
| HIGH | espnet3/parallel/parallel.py | 477 | Dispatch tasks to Dask and iterate over results as they complete. This helper: - Creates (or reuses) a Dask c | STRING |
| HIGH | espnet3/publication/inference_model.py | 105 | User-facing inference wrapper for packaged ESPnet models. This class is the public runtime API for a bundle produce | STRING |
| HIGH | espnet3/publication/inference_model.py | 188 | Build an inference model from a packed model directory. This is the main entry point for local publication bund | STRING |
| HIGH | espnet3/publication/inference_model.py | 308 | Download a packaged model and build an inference model from it. This is the remote-loading companion to :meth:` | STRING |
| HIGH | espnet3/publication/inference_model.py | 391 | Run inference for a single sample. This is the main execution method used by :meth:`__call__` and by :m | STRING |
| HIGH | espnet3/publication/inference_model.py | 445 | Run inference for a batch of samples. This helper first tries the same batched execution path used by : | STRING |
| HIGH | espnet3/publication/demo/session.py | 174 | Load a packed demo into a runtime session. Args: demo_dir: Packed demo directory. demo_config_path: | STRING |
| HIGH | espnet3/publication/demo/packing.py | 28 | Package a demo into a self-contained directory ready for upload. Reads ``system.demo_config`` and produces a direct | STRING |
| HIGH | espnet3/publication/demo/packing.py | 98 | Upload a packed demo directory to a Hugging Face Space. Expects the demo to have been packed already via :func:`pac | STRING |
| HIGH | espnet3/publication/demo/assets.py | 49 | Build one input component for a demo spec. Args: spec: One resolved entry from ``demo_config.ui.inp | STRING |
| HIGH | espnet3/publication/demo/assets.py | 65 | Build one output component for a demo spec. Args: spec: One resolved entry from ``demo_config.ui.ou | STRING |
| HIGH | espnet3/publication/demo/assets.py | 161 | Return one registered asset. Args: name: Asset type name from demo config. Returns: | STRING |
| HIGH | espnet3/utils/publication_utils.py | 530 | Pack model artifacts for publishing. Args: training_config: Training configuration with ``recipe_dir`` and | STRING |
| HIGH | espnet3/utils/publication_utils.py | 675 | Upload packed model artifacts to a Hugging Face model repo. Args: system: ESPnet3 system instance with ``pu | STRING |
| HIGH | espnet3/utils/scp_utils.py | 31 | Resolve metric input aliases to SCP file paths. This function does not read SCP contents. It only validates that th | STRING |
| HIGH | espnet3/utils/stages_utils.py | 76 | Parse CLI arguments and expand the requested stage selection. This helper is a thin wrapper around ``ArgumentParser | STRING |
| HIGH | espnet3/utils/run_utils.py | 29 | Return whether a config value should be treated as absent. This helper normalizes the common "missing" checks used | STRING |
| HIGH | espnet3/utils/run_utils.py | 53 | Return whether a config can resolve experiment output paths on its own. Standalone inference or metrics configs are | STRING |
| HIGH | espnet3/utils/run_utils.py | 94 | Copy selected runner context keys from one config into another. The runner uses this helper to keep runtime configs | STRING |
| HIGH | espnet3/utils/run_utils.py | 228 | Apply runner context propagation across stage configs. Runner entry points call this after loading configs and befo | STRING |
| HIGH | espnet3/utils/run_utils.py | 422 | Validate that runtime configs have enough experiment identity. This helper enforces the two supported runner modes: | STRING |
| HIGH | espnet3/utils/run_utils.py | 525 | Resolve a set of already-loaded configs in place. Runner entry points use `load_and_merge_config(..., resolve=False | STRING |
| HIGH | espnet3/utils/config_utils.py | 45 | Return the current config stem for `${self_name:}` interpolation. This resolver supports config values such as `exp | STRING |
| HIGH | espnet3/utils/config_utils.py | 80 | Return an absolute path rewritten by ``_normalize_relative_resolver_paths``. Used as ``${config_path:../src/file.md | STRING |
| HIGH | espnet3/utils/config_utils.py | 106 | Passthrough for ``${set_corpus_and_system:}`` after load-time rewriting. This resolver is used as ``${set_corpus_an | STRING |
| HIGH | espnet3/utils/logging_utils.py | 62 | Write per-stage metadata into the active stage log. This helper records the invocation context that is useful when | STRING |
| HIGH | espnet3/utils/logging_utils.py | 691 | Return a compact, fully-qualified name for objects or classes. Description: Produces a stable, human-readab | STRING |
| HIGH | espnet3/utils/logging_utils.py | 735 | Return a fully-qualified name for callables when possible. Description: Uses module + qualname for callable | STRING |
| HIGH | espnet3/utils/logging_utils.py | 880 | Log a component instance with class info, repr, and attributes. Description: Emits a structured log block f | STRING |
| HIGH | espnet3/utils/logging_utils.py | 953 | Log a dictionary of instances with a common kind label. Description: Iterates over the provided mapping and | STRING |
| HIGH | espnet3/components/metrics/base_metric.py | 73 | Yield rows from one or more SCP inputs with shared utterance IDs. This helper reads one or more SCP files in lo | STRING |
| HIGH | espnet3/components/callbacks/default_callbacks.py | 24 | Convert one logged scalar metric value to ``float``. Tensor values are detached first. Only scalar values are suppo | STRING |
| HIGH | espnet3/components/callbacks/default_callbacks.py | 180 | Log compact train and validation metric summaries. This callback owns the human-readable metric logging for the def | STRING |
| HIGH | espnet3/components/modeling/lightning_module.py | 29 | Build a static model summary for logs or publication metadata. Args: model: PyTorch model instance to summa | STRING |
| HIGH | espnet3/components/modeling/lightning_module.py | 725 | Log model/optimizer/scheduler details for training runs. Description: Emits a compact summary of th | STRING |
| HIGH | espnet3/components/data/dataset_builder.py | 9 | Interface for recipe-local dataset preparation helpers. This abstract class defines the contract used by the `` | STRING |
| HIGH | espnet3/components/data/dataset_builder.py | 57 | Check whether the raw source artifacts are already available. This method should answer only whether the source | STRING |
| HIGH | espnet3/components/data/dataset_builder.py | 97 | Materialize the raw source artifacts needed by the dataset. Implementations typically download archives, copy d | STRING |
| 49 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | egs2/chime8_task1/diar_asr1/local/pyannote_finetune.py | 22 | CODE | |
| LOW | …clotho_v2/asr1/local/data_prep_clotho_chatgpt_mixup.py | 23 | CODE | |
| LOW | egs2/owsm_v4/s2t1/local/lid.py | 70 | CODE | |
| LOW | …/lipreading1/local/feature_extract/video_processing.py | 159 | CODE | |
| LOW | …lipreading1/local/feature_extract/models/pretrained.py | 42 | CODE | |
| LOW | …ps/libs/nnet3/train/frame_level_objf/acoustic_model.py | 21 | CODE | |
| LOW | …1/steps/libs/nnet3/train/frame_level_objf/raw_model.py | 20 | CODE | |
| LOW | …asr1/steps/libs/nnet3/train/frame_level_objf/common.py | 174 | CODE | |
| LOW | …r1/steps/libs/nnet3/train/chain_objf/acoustic_model.py | 65 | CODE | |
| LOW | egs2/chime7_task1/diar_asr1/local/pyannote_finetune.py | 22 | CODE | |
| LOW | egs2/catslu/asr1/local/data_prep.py | 34 | CODE | |
| LOW | espnet2/uasr/espnet_model.py | 36 | CODE | |
| LOW | espnet2/uasr/generator/conv_generator.py | 41 | CODE | |
| LOW | espnet2/uasr/discriminator/conv_discriminator.py | 29 | CODE | |
| LOW | espnet2/spk/layers/resnet_block.py | 37 | CODE | |
| LOW | espnet2/spk/layers/resnet_block.py | 75 | CODE | |
| LOW | espnet2/spk/layers/rawnet_block.py | 113 | CODE | |
| LOW | espnet2/spk/encoder/resnet_encoder.py | 92 | CODE | |
| LOW | espnet2/spk/encoder/ska_tdnn_encoder.py | 152 | CODE | |
| LOW | espnet2/spk/encoder/ska_tdnn_encoder.py | 196 | CODE | |
| LOW | espnet2/spk/encoder/ska_tdnn_encoder.py | 269 | CODE | |
| LOW | espnet2/spk/encoder/conformer_encoder.py | 80 | CODE | |
| LOW | espnet2/diar/decoder/linear_decoder.py | 28 | CODE | |
| LOW | espnet2/enh/espnet_model.py | 32 | CODE | |
| LOW | espnet2/enh/layers/uses.py | 51 | CODE | |
| LOW | espnet2/enh/layers/uses.py | 188 | CODE | |
| LOW | espnet2/enh/layers/uses.py | 407 | CODE | |
| LOW | espnet2/enh/layers/dptnet.py | 173 | CODE | |
| LOW | espnet2/enh/layers/dnn_beamformer.py | 59 | CODE | |
| LOW | espnet2/enh/layers/tcn.py | 162 | CODE | |
| LOW | espnet2/enh/layers/dnn_wpe.py | 13 | CODE | |
| LOW | espnet2/enh/layers/dc_crn.py | 100 | CODE | |
| LOW | espnet2/enh/layers/dc_crn.py | 208 | CODE | |
| LOW | espnet2/enh/layers/dc_crn.py | 313 | CODE | |
| LOW | espnet2/enh/layers/dc_crn.py | 507 | CODE | |
| LOW | espnet2/enh/layers/uses2_comp.py | 73 | CODE | |
| LOW | espnet2/enh/layers/uses2_comp.py | 223 | CODE | |
| LOW | espnet2/enh/layers/complexnn.py | 167 | CODE | |
| LOW | espnet2/enh/layers/complexnn.py | 253 | CODE | |
| LOW | espnet2/enh/layers/bsrnn.py | 16 | CODE | |
| LOW | espnet2/enh/layers/bsrnn.py | 141 | CODE | |
| LOW | espnet2/enh/layers/dcunet.py | 329 | CODE | |
| LOW | espnet2/enh/layers/dcunet.py | 468 | CODE | |
| LOW | espnet2/enh/layers/dprnn.py | 170 | CODE | |
| LOW | espnet2/enh/layers/dprnn.py | 339 | CODE | |
| LOW | espnet2/enh/layers/tcndenseunet.py | 62 | CODE | |
| LOW | espnet2/enh/layers/tcndenseunet.py | 234 | CODE | |
| LOW | espnet2/enh/layers/tcndenseunet.py | 454 | CODE | |
| LOW | espnet2/enh/layers/uses2_swin.py | 55 | CODE | |
| LOW | espnet2/enh/layers/uses2_swin.py | 153 | CODE | |
| LOW | espnet2/enh/layers/uses2_swin.py | 344 | CODE | |
| LOW | espnet2/enh/layers/swin_transformer.py | 254 | CODE | |
| LOW | espnet2/enh/layers/swin_transformer.py | 435 | CODE | |
| LOW | espnet2/enh/layers/ncsnpp.py | 43 | CODE | |
| LOW | espnet2/enh/layers/ncsnpp_utils/layerspp.py | 247 | CODE | |
| LOW | espnet2/enh/layers/ncsnpp_utils/upfirdn2d.py | 14 | CODE | |
| LOW | espnet2/enh/layers/ncsnpp_utils/layers.py | 450 | CODE | |
| LOW | espnet2/enh/layers/ncsnpp_utils/normalization.py | 121 | CODE | |
| LOW | espnet2/enh/layers/ncsnpp_utils/normalization.py | 137 | CODE | |
| LOW | espnet2/enh/loss/criterions/time_domain.py | 168 | CODE | |
| 334 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | tools/test_soundfile.py | 44 | except Exception: | CODE |
| LOW | test/espnet3/conftest.py | 57 | except Exception: | CODE |
| LOW | test/espnet3/parallel/test_parallel.py | 372 | except Exception: | CODE |
| LOW | test/espnet2/bin/test_lid_inference.py | 85 | except Exception as e: | CODE |
| LOW | test/espnet2/bin/test_tts_inference.py | 62 | except Exception: | CODE |
| LOW⚡ | test/espnet2/bin/test_whisper_export_vocabulary.py | 21 | except Exception as e: | CODE |
| LOW⚡ | test/espnet2/bin/test_whisper_export_vocabulary.py | 28 | except Exception as e: | CODE |
| LOW⚡ | test/espnet2/bin/test_whisper_export_vocabulary.py | 35 | except Exception as e: | CODE |
| LOW⚡ | test/espnet2/bin/test_whisper_export_vocabulary.py | 96 | except Exception as e: | CODE |
| MEDIUM | test/espnet2/bin/test_whisper_export_vocabulary.py | 18 | def test_export_vocabulary_to_stdout(): | CODE |
| MEDIUM | test/espnet2/bin/test_whisper_export_vocabulary.py | 25 | def test_export_multilinugal_vocabulary_to_stdout(): | CODE |
| MEDIUM | test/espnet2/bin/test_whisper_export_vocabulary.py | 32 | def test_export_multilingual_vocabulary_to_stdout(): | CODE |
| MEDIUM | test/espnet2/bin/test_whisper_export_vocabulary.py | 93 | def test_export_vocabulary_to_stdout_sot(): | CODE |
| LOW | test/espnet2/speechlm/model/conftest.py | 27 | except Exception: | CODE |
| MEDIUM | test/espnet2/speechlm/model/conftest.py | 20 | def _liger_fused_ce_importable(): | CODE |
| LOW | test/espnet2/speechlm/trainer/conftest.py | 126 | except Exception: | CODE |
| LOW | test/espnet2/speechlm/trainer/conftest.py | 153 | except Exception: | CODE |
| LOW | test_utils/test_spk_embed_parallel.sh | 165 | except Exception: | CODE |
| LOW | ci/test_import_all.py | 9 | except Exception: | CODE |
| LOW | ci/test_import_all.py | 15 | except Exception: | CODE |
| LOW | ci/test_import_all.py | 46 | except Exception as e: | CODE |
| MEDIUM | ci/test_import_all.py | 52 | print(f"Error: Failed to import {len(failed_imports)} modules") | CODE |
| LOW | ci/test_integration_espnet3_publication_check.py | 50 | except Exception: | CODE |
| LOW | utils/average_checkpoints.py | 93 | except Exception as e: | CODE |
| MEDIUM | utils/apply_code_fixes.py | 75 | print(f"Error running pycodestyle: {e}", file=sys.stderr) | CODE |
| MEDIUM | utils/apply_code_fixes.py | 179 | print(f"Error processing {file_path}: {e}", file=sys.stderr) | CODE |
| LOW⚡ | utils/apply_code_fixes.py | 213 | except Exception as e: | CODE |
| MEDIUM⚡ | utils/apply_code_fixes.py | 214 | print(f"Error reading {file_path}: {e}", file=sys.stderr) | CODE |
| LOW | utils/apply_code_fixes.py | 328 | except Exception as e: | CODE |
| MEDIUM | utils/apply_code_fixes.py | 329 | print(f"Error writing to {file_path}: {e}", file=sys.stderr) | CODE |
| MEDIUM | utils/apply_code_fixes.py | 435 | print("Error: pycodestyle is not installed. Please install it using pip:") | CODE |
| LOW | egs2/coraal/asr1/local/text_normalization.py | 69 | except Exception: | CODE |
| LOW | egs2/multimed_st/s2t1/local/prepare_multimed_st.py | 146 | except Exception as e: | CODE |
| LOW | …owsm_v2/s2t1/local/prepare_multilingual_librispeech.py | 29 | except Exception as e: | CODE |
| LOW | …clotho_v2/asr1/local/data_prep_clotho_chatgpt_mixup.py | 177 | except Exception as e: | CODE |
| LOW | egs2/clotho_v2/asr1/local/evaluation.py | 36 | except Exception as exc: | CODE |
| LOW | egs2/dns_icassp22/enh1/local/noisyspeech_synthesizer.py | 270 | except Exception as e: | CODE |
| LOW | egs2/owsm_v4/s2t1/local/ctc_seg.py | 274 | except Exception as e: | CODE |
| LOW | egs2/owsm_v4/s2t1/local/lid.py | 166 | except Exception as e: | CODE |
| MEDIUM | egs2/owsm_v4/s2t1/local/lid.py | 167 | print(f"Error: {e}") | CODE |
| LOW | egs2/owsm_v3/s2t1/local/prepare_fleurs.py | 21 | except Exception: | CODE |
| LOW | egs2/voxlingua107/lid1/local/score.py | 33 | except Exception as e: | CODE |
| LOW | egs2/voxlingua107/lid1/local/score.py | 65 | except Exception as e: | CODE |
| LOW | egs2/fleurs/asr1/local/score_lang_id.py | 44 | except Exception: | CODE |
| LOW | egs2/fleurs/asr1/local/create_dataset.py | 8 | except Exception: | CODE |
| MEDIUM | egs2/fleurs/asr1/local/create_dataset.py | 10 | print("Error importing datasets library") | CODE |
| LOW | egs2/kinyarwanda_tts/tts1/local/data_prep.py | 52 | except Exception as e: | CODE |
| MEDIUM | egs2/kinyarwanda_tts/tts1/local/data_prep.py | 54 | print(f"Error {i}: {e}. Type: {type(audio_data)}") | CODE |
| LOW | …/lipreading1/local/feature_extract/video_processing.py | 148 | except Exception: | CODE |
| MEDIUM | egs2/edacc/asr1/local/truncate_test.py | 37 | print("Error: Kaldi files not found in the specified directory.") | CODE |
| LOW⚡ | egs2/spoken_chatbot_arena/sds1/app.py | 360 | except Exception: | CODE |
| LOW⚡ | egs2/spoken_chatbot_arena/sds1/app.py | 370 | except Exception: | CODE |
| LOW⚡ | egs2/spoken_chatbot_arena/sds1/app.py | 380 | except Exception: | CODE |
| LOW | egs2/microsoft_speech/asr1/local/process.py | 77 | except Exception as e: | CODE |
| LOW | egs2/microsoft_speech/asr1/local/process.py | 105 | except Exception as e: | CODE |
| LOW | egs2/totonac/asr1/local/data_prep.py | 68 | except Exception: | CODE |
| MEDIUM | egs2/totonac/asr1/local/data_prep.py | 65 | def ELANProcess(afile, spk_info): | CODE |
| LOW⚡ | egs2/TEMPLATE/sds1/app.py | 360 | except Exception: | CODE |
| LOW⚡ | egs2/TEMPLATE/sds1/app.py | 370 | except Exception: | CODE |
| LOW⚡ | egs2/TEMPLATE/sds1/app.py | 380 | except Exception: | CODE |
| 182 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | tools/extra_path.sh | 3 | # This file is a configuration fle for the commond setting | COMMENT |
| MEDIUM | tools/extra_path.sh | 5 | # This file is mainly sourced in egs2/*/*/path.sh. e.g. egs2/mini_an4/asr1/path.sh | COMMENT |
| MEDIUM | test/espnet3/components/data/test_collect_stats.py | 71 | # Create a simple pattern to let us verify sums deterministically | COMMENT |
| MEDIUM | test/espnet2/fileio/test_datadir_writer.py | 27 | # Create a directory, but set mismatched ids | COMMENT |
| MEDIUM⚡ | test/espnet2/speechlm/trainer/test_deepspeed_trainer.py | 166 | # Create a fake checkpoint dir | COMMENT |
| MEDIUM | test/espnet2/speechlm/trainer/test_deepspeed_trainer.py | 188 | # Create a checkpoint file | COMMENT |
| MEDIUM⚡ | test/espnet2/speechlm/dataloader/test_audio_loader.py | 112 | # Create a fake recordings.jsonl.gz so the path check passes | COMMENT |
| MEDIUM | test/espnet2/speechlm/dataloader/test_dataset.py | 219 | # Create a dataset JSON and a registry YAML pointing to it | COMMENT |
| MEDIUM | egs2/chime8_task1/asr1/run.sh | 282 | # Creating the parent directory | COMMENT |
| MEDIUM | egs2/chime8_task1/diar_asr1/run_gss_asr.sh | 282 | # Creating the parent directory | COMMENT |
| MEDIUM | egs2/voxtlm_v1/lm1/local/librilight/cut_by_vad.py | 2 | # This file is from Libri-Light repo: https://github.com/facebookresearch/ | COMMENT |
| MEDIUM | egs2/myst/asr1/local/prepare_data.py | 29 | # Create the partition directory in the Kaldi structure | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/utils/create_split_dir.pl | 65 | # Create the destination directory and make the link. | COMMENT |
| MEDIUM | …s2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/attention.py | 15 | # This class is for parsing lines like | COMMENT |
| MEDIUM | …/TEMPLATE/asr1/steps/libs/nnet3/xconfig/convolution.py | 17 | # This class is for lines like the following: | COMMENT |
| MEDIUM | …/TEMPLATE/asr1/steps/libs/nnet3/xconfig/convolution.py | 329 | # This class is for lines like the following: | COMMENT |
| MEDIUM | …/TEMPLATE/asr1/steps/libs/nnet3/xconfig/convolution.py | 710 | # This class is for lines like the following: | COMMENT |
| MEDIUM | …/TEMPLATE/asr1/steps/libs/nnet3/xconfig/stats_layer.py | 14 | """This class is for parsing lines like | STRING |
| MEDIUM | …TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py | 315 | """This class is for lines like | STRING |
| MEDIUM | …TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py | 447 | """This class is for lines like | STRING |
| MEDIUM | …TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py | 673 | """This class is for parsing lines like | STRING |
| MEDIUM | …TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py | 1278 | """This class is for parsing lines like | STRING |
| MEDIUM | …MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py | 18 | """This class is for parsing lines like | STRING |
| MEDIUM | …MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py | 75 | """This class is for parsing lines like | STRING |
| MEDIUM | …MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py | 137 | """This class is for parsing lines like | STRING |
| MEDIUM | …MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py | 190 | """This class is for parsing lines like | STRING |
| MEDIUM | …MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py | 261 | """This class is for parsing lines like | STRING |
| MEDIUM | …MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py | 340 | """This class is for parsing lines like | STRING |
| MEDIUM | …MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py | 436 | """This class is for parsing lines like | STRING |
| MEDIUM | …MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py | 515 | """This class is for parsing lines like | STRING |
| MEDIUM | …MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py | 589 | """This class is for parsing lines like | STRING |
| MEDIUM | …MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py | 664 | """This class is for parsing lines like | STRING |
| MEDIUM | …LATE/asr1/steps/libs/nnet3/xconfig/composite_layers.py | 13 | # This class is intended to implement an extension of the factorized TDNN | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 16 | # This class is for lines like | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 259 | # This class is for lines like | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 567 | # This class is for lines like | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 757 | # This class is for lines like | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 955 | # This class is for lines like | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 194 | configs.append("# Defining the non-linearities") | CODE |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 201 | configs.append("# Defining the components for other cell computations") | CODE |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 473 | configs.append("# Defining the non-linearities") | CODE |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 483 | configs.append("# Defining the components for other cell computations") | CODE |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 16 | # This class is for lines like | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 172 | # This class is for lines like | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 374 | # This class is for lines like | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 609 | # This class is for lines like | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 808 | # This class is for lines like | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 1044 | # This class is for lines like | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 1200 | # This class is for lines like | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 1410 | # This class is for lines like | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 1656 | # This class is for lines like | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 1869 | # This class is for lines like | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 132 | configs.append("# Defining the non-linearities") | CODE |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 137 | configs.append("# Defining the components for other cell computations") | CODE |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 330 | configs.append("# Defining the non-linearities") | CODE |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 335 | configs.append("# Defining the components for other cell computations") | CODE |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 551 | configs.append("# Defining the non-linearities") | CODE |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 556 | configs.append("# Defining the components for other cell computations") | CODE |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 765 | configs.append("# Defining the non-linearities") | CODE |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 770 | configs.append("# Defining the components for other cell computations") | CODE |
| 51 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH⚡ | test/espnet3/utils/test_config.py | 250 | - {"opt": null} | CODE |
| HIGH | utils/convert_fbank_to_wav.py | 83 | "`source ./path.sh && pip install librosa==0.7.0`." | CODE |
| HIGH⚡ | …ert1/local/dump_librispeech_alignment_from_textgrid.py | 27 | print("Please install praatio: . ./path.sh && python -m pip install praatio") | CODE |
| HIGH⚡ | …ssl1/local/dump_librispeech_alignment_from_textgrid.py | 27 | print("Please install praatio: . ./path.sh && python -m pip install praatio") | CODE |
| HIGH⚡ | …asr2/local/dump_librispeech_alignment_from_textgrid.py | 27 | print("Please install praatio: . ./path.sh && python -m pip install praatio") | CODE |
| HIGH | espnet2/layers/create_adapter_fn.py | 57 | "Please install S3PRL: cd ${MAIN_ROOT}/tools && make s3prl.done" | CODE |
| HIGH | espnet2/layers/create_adapter_fn.py | 176 | "Please install S3PRL: cd ${MAIN_ROOT}/tools && make s3prl.done" | CODE |
| HIGH | espnet2/bin/s2t_ctc_align.py | 36 | "`. ./path.sh && pip install " | CODE |
| HIGH | espnet2/bin/asr_align.py | 36 | "`. ./path.sh && pip install " | CODE |
| HIGH | espnet2/fileio/score_scp.py | 52 | "(cd tools && make muskit.done)", | CODE |
| HIGH | espnet2/fileio/score_scp.py | 238 | "(cd tools && make muskit.done)", | CODE |
| HIGH | espnet2/utils/griffin_lim.py | 97 | "`source ./path.sh && pip install librosa==0.7.0`." | CODE |
| HIGH⚡ | espnet2/asr/frontend/s3prl.py | 31 | print("Please install S3PRL: cd ${MAIN_ROOT}/tools && make s3prl.done") | CODE |
| HIGH⚡ | espnet2/asr/encoder/hubert_encoder.py | 334 | print("Please install FairSeq: cd ${MAIN_ROOT}/tools && make fairseq.done") | CODE |
| HIGH⚡ | espnet2/asr/encoder/hubert_encoder.py | 542 | print("Please install FairSeq: cd ${MAIN_ROOT}/tools && make fairseq.done") | CODE |
| HIGH⚡ | espnet2/asr/encoder/avhubert_encoder.py | 601 | print("Please install FairSeq: cd ${MAIN_ROOT}/tools && make fairseq.done") | CODE |
| HIGH⚡ | espnet2/asr/encoder/avhubert_encoder.py | 870 | print("Please install FairSeq: cd ${MAIN_ROOT}/tools && make fairseq.done") | CODE |
| HIGH⚡ | espnet2/asr/encoder/wav2vec2_encoder.py | 53 | "Please install FairSeq: cd ${MAIN_ROOT}/tools && make fairseq.done" | CODE |
| HIGH | espnet2/train/trainer.py | 218 | print("Please install S3PRL: cd ${MAIN_ROOT}/tools && make s3prl.done") | CODE |
| HIGH⚡ | espnet2/gan_svs/post_frontend/s3prl.py | 38 | print("Please install S3PRL: cd ${MAIN_ROOT}/tools && make s3prl.done") | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | egs2/chime8_task1/diar_asr1/run.sh | 120 | # training. You can try to leverage it in a semi-supervised way however. | COMMENT |
| MEDIUM | egs2/chime8_task1/diar_asr1/local/pyannote_diarize.py | 168 | # because that one is trained on chime6 to be robust against noise and | COMMENT |
| MEDIUM | egs2/chime8_task1/diar_asr1/local/pyannote_diarize.py | 170 | # we want instead a model that is not so robust against that to use | COMMENT |
| MEDIUM | egs2/ami/asr1/local/data.sh | 63 | ### But you can utilize Kaldi recipes in most cases | COMMENT |
| MEDIUM | egs2/hkust/asr1/local/data.sh | 42 | ### But you can utilize Kaldi recipes in most cases | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/__init__.py | 10 | # This module has the python functions which facilitate the use of nnet3 toolkit | COMMENT |
| LOW | …s2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/attention.py | 29 | # Here we just list some likely combinations.. you can just add any | COMMENT |
| LOW | …/TEMPLATE/asr1/steps/libs/nnet3/xconfig/convolution.py | 36 | # want to skip batch normalization you could just call it 'conv-layer'. | COMMENT |
| LOW | …/TEMPLATE/asr1/steps/libs/nnet3/xconfig/convolution.py | 482 | # input, so just return the output of the no-op component. | COMMENT |
| LOW⚡ | …TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py | 342 | # there are no auxiliary outputs as this layer will just pass the input | COMMENT |
| LOW⚡ | …TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py | 348 | # there are no auxiliary outputs as this layer will just pass the input | COMMENT |
| LOW | …TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py | 404 | # there are no auxiliary outputs as this layer will just pass the output | COMMENT |
| LOW⚡ | …TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py | 1261 | # there are no auxiliary outputs as this layer will just pass the input | COMMENT |
| LOW⚡ | …TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py | 1266 | # there are no auxiliary outputs as this layer will just pass the input | COMMENT |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 120 | # in the below code we will just call descriptor_strings as descriptors for conciseness | COMMENT |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 397 | # in the below code we will just call descriptor_strings as descriptors for conciseness | COMMENT |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 679 | # in the below code we will just call descriptor_strings as descriptors for conciseness | COMMENT |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 864 | # in the below code we will just call descriptor_strings as descriptors for conciseness | COMMENT |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 1090 | # in the below code we will just call descriptor_strings as descriptors for conciseness | COMMENT |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 92 | # in the below code we will just call descriptor_strings as descriptors for conciseness | COMMENT |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 286 | # in the below code we will just call descriptor_strings as descriptors for conciseness | COMMENT |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 496 | # in the below code we will just call descriptor_strings as descriptors for conciseness | COMMENT |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 720 | # in the below code we will just call descriptor_strings as descriptors for conciseness | COMMENT |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 931 | # in the below code we will just call descriptor_strings as descriptors for conciseness | COMMENT |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 1127 | # in the below code we will just call descriptor_strings as descriptors for conciseness | COMMENT |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 1320 | # in the below code we will just call descriptor_strings as descriptors for conciseness | COMMENT |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 1538 | # in the below code we will just call descriptor_strings as descriptors for conciseness | COMMENT |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 1776 | # in the below code we will just call descriptor_strings as descriptors for conciseness | COMMENT |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 1997 | # in the below code we will just call descriptor_strings as descriptors for conciseness | COMMENT |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/train/common.py | 358 | # we will throw an error at the end of the function so I will just pass | COMMENT |
| MEDIUM | egs2/TEMPLATE/uasr1/uasr.sh | 743 | # Note(Jiatong): though name as unpaired text, we here utilize the paired data for internal | COMMENT |
| MEDIUM | egs2/magicdata/asr1/local/data.sh | 92 | ### But you can utilize Kaldi recipes in most cases | COMMENT |
| MEDIUM | egs2/aishell2/asr1/local/data.sh | 38 | ### But you can utilize Kaldi recipes in most cases | COMMENT |
| MEDIUM | egs2/csj/asr1/local/run_spm.sh | 93 | ### But you can utilize Kaldi recipes in most cases | COMMENT |
| MEDIUM | egs2/csj/asr1/local/run_spm.sh | 109 | ### But you can utilize Kaldi recipes in most cases | COMMENT |
| MEDIUM | egs2/chime7_task1/diar_asr1/run.sh | 117 | # training. You can try to leverage it in a semi-supervised way however. | COMMENT |
| MEDIUM | egs2/chime7_task1/diar_asr1/local/pyannote_diarize.py | 167 | # because that one is trained on chime6 to be robust against noise and | COMMENT |
| MEDIUM | egs2/chime7_task1/diar_asr1/local/pyannote_diarize.py | 169 | # we want instead a model that is not so robust against that to use | COMMENT |
| MEDIUM | egs2/timit/asr1/local/data.sh | 41 | ### But you can utilize Kaldi recipes in most cases | COMMENT |
| MEDIUM | egs2/timit/asr1/local/data.sh | 49 | ### But you can utilize Kaldi recipes in most cases | COMMENT |
| MEDIUM | egs2/timit/uasr1/uasr.sh | 743 | # Note(Jiatong): though name as unpaired text, we here utilize the paired data for internal | COMMENT |
| MEDIUM | egs2/timit/uasr1/local/data.sh | 41 | ### But you can utilize Kaldi recipes in most cases | COMMENT |
| MEDIUM | egs2/timit/uasr1/local/data.sh | 49 | ### But you can utilize Kaldi recipes in most cases | COMMENT |
| LOW | espnet2/enh/encoder/stft_encoder.py | 184 | # so, here we just use "reflect mode" | COMMENT |
| MEDIUM | espnet2/sds/end_to_end/mini_omni/litgpt/utils.py | 559 | # TODO(gituser): Make this more robust | COMMENT |
| LOW | espnet2/bin/s2st_inference.py | 314 | best_hyp = nbest_hyps[0] # just use the best | CODE |
| LOW | espnet2/bin/s2st_inference.py | 410 | best_hyp = nbest_hyps[0] # just use the best | CODE |
| MEDIUM | espnet2/asr/state_spaces/s4.py | 343 | # Essentially equivalent to S4D-LegS | COMMENT |
| MEDIUM | espnet2/asr/state_spaces/s4.py | 356 | # Essentially equivalent to S4D-Lin | COMMENT |
| MEDIUM | espnet2/speechlm/trainer/titan_trainer.py | 588 | # To check the comprehensive performance, please use wandb. | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | utils/synth_wav.sh | 73 | # also you can use multiple text | COMMENT |
| MEDIUM | egs2/chime8_task1/asr1/run.sh | 36 | gss_max_batch_dur=200 # set accordingly to your GPU VRAM, A100 40GB you can use 360 | CODE |
| MEDIUM | egs2/chime8_task1/asr1/run.sh | 44 | # we do not train with mixer 6 training + GSS here, but you can try. | COMMENT |
| MEDIUM | egs2/chime8_task1/asr1/run.sh | 56 | asr_cv_set=kaldi/chime6/dev/gss # we used only chime6 but maybe you can use a combination of all | CODE |
| MEDIUM | egs2/chime8_task1/diar_asr1/run_gss_asr.sh | 36 | gss_max_batch_dur=200 # set accordingly to your GPU VRAM, A100 40GB you can use 360 | CODE |
| MEDIUM | egs2/chime8_task1/diar_asr1/run_gss_asr.sh | 44 | # we do not train with mixer 6 training + GSS here, but you can try. | COMMENT |
| MEDIUM | egs2/chime8_task1/diar_asr1/run_gss_asr.sh | 56 | asr_cv_set=kaldi/chime6/dev/gss # we used only chime6 but maybe you can use a combination of all | CODE |
| MEDIUM | egs2/chime8_task1/diar_asr1/local/pyannote_finetune.py | 40 | # slows significantly training, but you can try | COMMENT |
| LOW | egs2/dns_icassp22/enh1/local/download_dns4_dataset.sh | 9 | # NOTE: Before downloading, make sure you have enough space | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/utils/retry.pl | 14 | # e.g. if your command line was "queue.pl [args]", you can replace that | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/utils/split_scp.pl | 37 | # Note that you can use this script to split the utt2spk file itself, | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/utils/parallel/retry.pl | 14 | # e.g. if your command line was "queue.pl [args]", you can replace that | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 261 | # (you can also use the name 'lstmp-batchnorm-layer' if you want it to be followed | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 569 | # (you can also use the name 'fast-lstm-batchnorm-layer' if you want it to be followed | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py | 959 | # (you can also use the name 'fast-lstmp-batchnorm-layer' if you want it to be followed | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 1083 | # you can add somethig like 'self-repair-scale=xxx' to gru-nonlinearity-options. | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 1246 | # you can add somethig like 'self-repair-scale=xxx' to gru-nonlinearity-options. | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 1457 | # you can add somethig like 'self-repair-scale=xxx' to gru-nonlinearity-options. | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 1702 | # you can add somethig like 'self-repair-scale=xxx' to gru-nonlinearity-options. | COMMENT |
| MEDIUM | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py | 1916 | # you can add somethig like 'self-repair-scale=xxx' to gru-nonlinearity-options. | COMMENT |
| MEDIUM | egs2/mls/asr1/local/data.sh | 17 | data_split=full # full/1h/10h splits (mentioned in the original MLS paper, you can use the subset of training data) | CODE |
| MEDIUM | egs2/mls/asr2/local/data.sh | 17 | data_split=full # full/1h/10h splits (mentioned in the original MLS paper, you can use the subset of training data) | CODE |
| MEDIUM | egs2/chime6/asr1/local/prepare_baseline_chime6_data.sh | 181 | # you can use both left and right channels for training | COMMENT |
| MEDIUM | egs2/chime7_task1/asr1/run.sh | 41 | gss_max_batch_dur=90 # set accordingly to your GPU VRAM, A100 40GB you can use 360 | CODE |
| MEDIUM | egs2/chime7_task1/asr1/run.sh | 49 | # we do not train with mixer 6 training + GSS here, but you can try. | COMMENT |
| MEDIUM | egs2/chime7_task1/asr1/run.sh | 60 | asr_cv_set=kaldi/chime6/dev/gss # use chime only for validation. you can also try using all datasets after gss: kaldi/de | CODE |
| MEDIUM | egs2/chime7_task1/asr1/local/gen_task1_data.sh | 14 | # but if you have it already you can use your existing one. | COMMENT |
| MEDIUM | egs2/chime7_task1/diar_asr1/run_gss_asr.sh | 41 | gss_max_batch_dur=90 # set accordingly to your GPU VRAM, A100 40GB you can use 360 | CODE |
| MEDIUM | egs2/chime7_task1/diar_asr1/run_gss_asr.sh | 49 | # we do not train with mixer 6 training + GSS here, but you can try. | COMMENT |
| MEDIUM | egs2/chime7_task1/diar_asr1/run_gss_asr.sh | 60 | asr_cv_set=kaldi/chime6/dev/gss # use chime only for validation. you can also try using all datasets after gss: kaldi/de | CODE |
| MEDIUM | egs2/chime7_task1/diar_asr1/local/pyannote_finetune.py | 40 | # slows significantly training, but you can try | COMMENT |
| MEDIUM | egs2/chime7_task1/diar_asr1/local/gen_task1_data.sh | 14 | # but if you have it already you can use your existing one. | COMMENT |
| MEDIUM | egs2/universal_se_v1/enh1/run.sh | 32 | # you can add the following arguments: | COMMENT |
| LOW | espnet3/systems/asr/task.py | 111 | ), # If setting this to none, please make sure to provide input_size in the config. | CODE |
| LOW | espnet2/tasks/asr.py | 107 | ), # If setting this to none, please make sure to provide input_size in the config. | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | test/espnet3/publication/test_inference_model.py | 165 | def _set_schema_version(bundle_root: Path, version: int | None) -> None: | CODE |
| LOW | test_utils/egs3/integration_test/asr/src/app_image.py | 14 | logger = logging.getLogger(__name__) | CODE |
| LOW | egs3/TEMPLATE/asr/src/app.py | 14 | logger = logging.getLogger(__name__) | CODE |
| LOW | egs3/mini_an4/asr/dataset/__init__.py | 6 | __all__ = ["Dataset", "DatasetBuilder"] | CODE |
| LOW | egs3/mini_an4/asr/src/app.py | 14 | logger = logging.getLogger(__name__) | CODE |
| LOW | egs2/easycom/avsr1/local/transforms.py | 13 | __all__ = [ | CODE |
| LOW | egs2/lrs3/avsr1/local/transforms.py | 13 | __all__ = [ | CODE |
| LOW | …2/TEMPLATE/asr1/pyscripts/utils/overlay_fbank_stats.py | 20 | logger = logging.getLogger(__name__) | CODE |
| LOW | egs2/TEMPLATE/asr1/steps/libs/__init__.py | 11 | __all__ = ["common"] | CODE |
| LOW | egs2/TEMPLATE/asr1/steps/libs/common.py | 27 | logger = logging.getLogger(__name__) | CODE |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/__init__.py | 39 | __all__ = ["utils", "layers", "parser"] | CODE |
| LOW | …MPLATE/asr1/steps/libs/nnet3/train/dropout_schedule.py | 12 | logger = logging.getLogger(__name__) | CODE |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/train/common.py | 23 | logger = logging.getLogger(__name__) | CODE |
| LOW | …ps/libs/nnet3/train/frame_level_objf/acoustic_model.py | 17 | logger = logging.getLogger(__name__) | CODE |
| LOW | …r1/steps/libs/nnet3/train/frame_level_objf/__init__.py | 14 | __all__ = ["common", "raw_model", "acoustic_model"] | CODE |
| LOW | …1/steps/libs/nnet3/train/frame_level_objf/raw_model.py | 16 | logger = logging.getLogger(__name__) | CODE |
| LOW | …asr1/steps/libs/nnet3/train/frame_level_objf/common.py | 24 | logger = logging.getLogger(__name__) | CODE |
| LOW | …r1/steps/libs/nnet3/train/chain_objf/acoustic_model.py | 21 | logger = logging.getLogger(__name__) | CODE |
| LOW | …ATE/asr1/steps/libs/nnet3/train/chain_objf/__init__.py | 12 | __all__ = ["acoustic_model"] | CODE |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/report/log_parse.py | 16 | logger = logging.getLogger(__name__) | CODE |
| LOW | egs2/TEMPLATE/asr1/steps/libs/nnet3/report/__init__.py | 8 | __all__ = ["log_parse"] | CODE |
| LOW | egs2/slurp_entity/asr1/local/evaluation/util.py | 15 | logger = logging.getLogger(__name__) | CODE |
| LOW | egs2/slurp_entity/asr1/local/evaluation/evaluate.py | 14 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet3/parallel/base_runner.py | 27 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet3/parallel/inference_provider.py | 12 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet3/parallel/parallel.py | 122 | def set_parallel(config: Optional[DictConfig]) -> None: | CODE |
| LOW | espnet3/publication/__init__.py | 5 | __all__ = ["InferenceModel"] | CODE |
| LOW | espnet3/publication/demo/session.py | 19 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet3/publication/demo/packing.py | 24 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet3/publication/demo/packing.py | 283 | def _setup_demo_assets(demo_dir: Path, demo_config) -> None: | CODE |
| LOW | espnet3/publication/demo/assets.py | 13 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet3/utils/publication_utils.py | 29 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet3/utils/stages_utils.py | 18 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet3/components/data/data_organizer.py | 19 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet3/components/data/collect_stats.py | 22 | __all__ = [ | CODE |
| LOW | espnet3/components/data/dataloader.py | 13 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet3/systems/asr/system.py | 19 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet3/systems/base/system.py | 21 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet3/systems/base/inference_provider.py | 15 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet3/systems/base/metric.py | 14 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet3/systems/base/inference.py | 14 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet3/systems/base/training.py | 20 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet2/enh/diffusion/sampling/__init__.py | 11 | __all__ = ["Predictor", "Corrector", "get_sampler"] | CODE |
| LOW | espnet2/tasks/beats.py | 28 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet2/sds/end_to_end/mini_omni/litgpt/__init__.py | 21 | __all__ = ["GPT", "Config", "Tokenizer"] | CODE |
| LOW | espnet2/bin/asr_inference.py | 68 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet2/legacy/nets/beam_search.py | 12 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet2/legacy/nets/beam_search.py | 123 | def set_hyp_primer(self, hyp_primer: List[int] = None) -> None: | CODE |
| LOW | espnet2/legacy/nets/batch_beam_search.py | 11 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet2/cls/espnet_model.py | 31 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet2/beats/espnet_model.py | 21 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet2/beats/audio_tokenizer.py | 18 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet2/beats/generate_beats_checkpoint.py | 19 | logger = logging.getLogger(__name__) | CODE |
| LOW | espnet2/gan_tts/parallel_wavegan/__init__.py | 6 | __all__ = ["ParallelWaveGANDiscriminator", "ParallelWaveGANGenerator"] | CODE |
| LOW | espnet2/gan_tts/hifigan/__init__.py | 10 | __all__ = [ | CODE |
| LOW | espnet2/asr_transducer/decoder/abs_decoder.py | 80 | def set_device(self, device: torch.Tensor) -> None: | CODE |
| LOW | espnet2/asr_transducer/decoder/rwkv_decoder.py | 160 | def set_device(self, device: torch.device) -> None: | CODE |
| LOW | espnet2/asr_transducer/decoder/mega_decoder.py | 213 | def set_device(self, device: torch.device) -> None: | CODE |
| LOW | espnet2/asr_transducer/decoder/rnn_decoder.py | 182 | def set_device(self, device: torch.device) -> None: | CODE |
| LOW | espnet2/asr_transducer/decoder/stateless_decoder.py | 114 | def set_device(self, device: torch.device) -> None: | CODE |
| 23 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | egs2/jtubespeech/asr1/run.sh | 20 | # NOTE: The default settings require 4 GPUs with 32 GB memory | COMMENT |
| LOW | egs2/ms_snsd/enh1/README.md | 24 | ### Step 1: Download MS-SNSD | COMMENT |
| LOW | egs2/ms_snsd/enh1/README.md | 40 | ### Step 2: Generate Noisy Data | COMMENT |
| LOW | egs2/ms_snsd/enh1/README.md | 67 | ### Step 3: Prepare ESPnet Data Directories (train/valid/test) | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 64 | # Step 1: Load the audio file | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 67 | # Step 2: Calculate short-time energy for each frame | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 75 | # Step 3: Find index of the first frame where energy exceeds the threshold | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 86 | # Step 1: Load the textgrid file | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 89 | # Step 2: Get the start and end times of non-silent utterances | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 103 | # Step 3: Load the transcription file | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 108 | # Step 4: Split the content in each row | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 112 | # Step 5: Find all the rows' corresponding name in the txt file starting with 2001 | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 117 | # Step 6: Find the start and end times for the song's corresponding row names | COMMENT |
| LOW | egs2/spgispeech/asr1/run.sh | 22 | # NOTE: The default settings require 4 GPUs with 32 GB memory | COMMENT |
| LOW | egs2/laborotv/asr1/run_streaming.sh | 20 | # NOTE: The default settings require 4 GPUs with 32 GB memory | COMMENT |
| LOW | egs2/laborotv/asr1/run.sh | 20 | # NOTE: The default settings require 4 GPUs with 32 GB memory | COMMENT |
| LOW | egs2/csj/asr1/run.sh | 20 | # NOTE: The default settings require 4 GPUs with 32 GB memory | COMMENT |
| LOW | espnet2/samplers/category_power_sampler.py | 347 | # Step 1: Category sampling within each dataset | STRING |
| LOW | espnet2/samplers/category_power_sampler.py | 400 | # Step 2: Dataset sampling using resampled data | STRING |
| LOW⚡ | espnet2/samplers/category_power_sampler.py | 448 | # Step 1: Sample dataset d according to P(d) | STRING |
| LOW⚡ | espnet2/samplers/category_power_sampler.py | 454 | # Step 2: Sample category l according to P(l | d) | STRING |
| LOW | espnet2/samplers/category_power_sampler.py | 468 | # Step 3: Sample utterance uniformly from | STRING |
| LOW⚡ | espnet2/speechlm/trainer/deepspeed_trainer.py | 100 | # Step 1: Check resume_path | COMMENT |
| LOW⚡ | espnet2/speechlm/trainer/deepspeed_trainer.py | 104 | # Step 2: Check latest checkpoint in output_dir | COMMENT |
| LOW | espnet2/speechlm/dataloader/dataset.py | 166 | # Step 1: Collect all (dataset_name, json_path) pairs | COMMENT |
| LOW | espnet2/speechlm/dataloader/dataset.py | 190 | # Step 2: Load all datasets in parallel using multiprocessing | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | egs3/TEMPLATE/asr/conf/training.yaml | 24 | # Path scaffold relative to the recipe root. | COMMENT |
| MEDIUM | …brimix/sot_asr1/conf/tuning/train_sot_asr_whisper.yaml | 25 | # do_pad_trim: true # should be set when doing zero-shot inference | COMMENT |
| MEDIUM | …sot_asr1/conf/tuning/train_sot_asr_whisper_medium.yaml | 25 | # do_pad_trim: true # should be set when doing zero-shot inference | COMMENT |
| MEDIUM | …/sot_asr1/conf/tuning/train_sot_asr_whisper_small.yaml | 25 | # do_pad_trim: true # should be set when doing zero-shot inference | COMMENT |
| MEDIUM | egs2/stop/asr1/conf/train_asr_whisper_full_correct.yaml | 35 | # do_pad_trim: true # should be set when doing zero-shot inference | COMMENT |
| MEDIUM | …asr1_pipeline/conf/train_asr_whisper_full_correct.yaml | 35 | # do_pad_trim: true # should be set when doing zero-shot inference | COMMENT |
| MEDIUM | …sr1/conf/tuning/train_asr_whisper_medium_finetune.yaml | 41 | # do_pad_trim: true # should be set when doing zero-shot inference | COMMENT |
| MEDIUM | …onf/tuning/train_asr_whisper_medium_lora_finetune.yaml | 41 | # do_pad_trim: true # should be set when doing zero-shot inference | COMMENT |
| MEDIUM | …conf/tuning/train_asr_whisper_large_lora_finetune.yaml | 41 | # do_pad_trim: true # should be set when doing zero-shot inference | COMMENT |
| MEDIUM | …/asr1/conf/train_asr_whisper_full_correct_specaug.yaml | 36 | # do_pad_trim: true # should be set when doing zero-shot inference | COMMENT |
| MEDIUM | egs2/ml_superb/asr1/local/data_prep.py | 249 | reserve_flag = True # skip reserve lange for zero-shot | CODE |
| MEDIUM | …peech_100/asr1/conf/tuning/train_asr_whisper_full.yaml | 35 | # do_pad_trim: true # should be set when doing zero-shot inference | COMMENT |
| MEDIUM | …/interspeech2024_dsu_challenge/asr1/local/data_prep.py | 249 | reserve_flag = True # skip reserve lange for zero-shot | CODE |
| MEDIUM | …/interspeech2024_dsu_challenge/asr2/local/data_prep.py | 249 | reserve_flag = True # skip reserve lange for zero-shot | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 64 | # Step 1: Load the audio file | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 67 | # Step 2: Calculate short-time energy for each frame | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 75 | # Step 3: Find index of the first frame where energy exceeds the threshold | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 86 | # Step 1: Load the textgrid file | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 89 | # Step 2: Get the start and end times of non-silent utterances | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 103 | # Step 3: Load the transcription file | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 108 | # Step 4: Split the content in each row | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 112 | # Step 5: Find all the rows' corresponding name in the txt file starting with 2001 | COMMENT |
| LOW⚡ | egs2/acesinger/svs1/local/data_prep.py | 117 | # Step 6: Find the start and end times for the song's corresponding row names | COMMENT |
| LOW | espnet2/samplers/category_power_sampler.py | 347 | # Step 1: Category sampling within each dataset | STRING |
| LOW | espnet2/samplers/category_power_sampler.py | 400 | # Step 2: Dataset sampling using resampled data | STRING |
| LOW⚡ | espnet2/samplers/category_power_sampler.py | 448 | # Step 1: Sample dataset d according to P(d) | STRING |
| LOW⚡ | espnet2/samplers/category_power_sampler.py | 454 | # Step 2: Sample category l according to P(l | d) | STRING |
| LOW | espnet2/samplers/category_power_sampler.py | 468 | # Step 3: Sample utterance uniformly from | STRING |
| LOW⚡ | espnet2/speechlm/trainer/deepspeed_trainer.py | 100 | # Step 1: Check resume_path | COMMENT |
| LOW⚡ | espnet2/speechlm/trainer/deepspeed_trainer.py | 104 | # Step 2: Check latest checkpoint in output_dir | COMMENT |
| LOW | espnet2/speechlm/dataloader/dataset.py | 166 | # Step 1: Collect all (dataset_name, json_path) pairs | COMMENT |
| LOW | espnet2/speechlm/dataloader/dataset.py | 190 | # Step 2: Load all datasets in parallel using multiprocessing | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | …lipreading1/local/feature_extract/models/pretrained.py | 98 | CODE | |
| MEDIUM | …lipreading1/local/feature_extract/models/pretrained.py | 99 | CODE | |
| MEDIUM | …lipreading1/local/feature_extract/models/pretrained.py | 100 | CODE | |
| MEDIUM | …asr1/steps/libs/nnet3/train/frame_level_objf/common.py | 624 | CODE | |
| MEDIUM | …asr1/steps/libs/nnet3/train/frame_level_objf/common.py | 630 | CODE | |
| MEDIUM | …asr1/steps/libs/nnet3/train/frame_level_objf/common.py | 635 | CODE | |
| MEDIUM | …asr1/steps/libs/nnet3/train/frame_level_objf/common.py | 636 | CODE | |
| MEDIUM | …asr1/steps/libs/nnet3/train/frame_level_objf/common.py | 637 | CODE | |
| MEDIUM | …asr1/steps/libs/nnet3/train/frame_level_objf/common.py | 638 | CODE | |
| MEDIUM | …asr1/steps/libs/nnet3/train/frame_level_objf/common.py | 640 | CODE | |
| MEDIUM | …asr1/steps/libs/nnet3/train/frame_level_objf/common.py | 642 | CODE | |
| MEDIUM | espnet2/layers/augmentation.py | 410 | CODE | |
| MEDIUM | espnet2/layers/augmentation.py | 419 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | egs2/chime8_task1/asr1/local/get_lhotse_manifests.py | 171 | segment["words"] = "placeholder" | CODE |
| LOW | egs2/chime8_task1/asr1/local/get_lhotse_manifests.py | 321 | segment["words"] = "placeholder" | CODE |
| LOW | egs2/chime8_task1/asr1/local/get_lhotse_manifests.py | 479 | segment["words"] = "placeholder" | CODE |
| LOW | …MPLATE/asr1/pyscripts/utils/dialog_eval/LLM_Metrics.py | 76 | >>> responses = ["Hello world", "Foo bar", "Lorem ipsum dolor sit amet"] | STRING |
| LOW | …MPLATE/asr1/pyscripts/utils/dialog_eval/LLM_Metrics.py | 76 | >>> responses = ["Hello world", "Foo bar", "Lorem ipsum dolor sit amet"] | STRING |
| LOW | egs2/chime7_task1/asr1/local/gen_task1_data.py | 111 | ex["words"] = "placeholder" | CODE |
| LOW | egs2/chime7_task1/asr1/local/gen_task1_data.py | 114 | ex_scoring["words"] = "placeholder" | CODE |
| LOW | egs2/chime7_task1/asr1/local/gen_task1_data.py | 253 | ex["words"] = "placeholder" # diarization only annotation | CODE |
| LOW | egs2/chime7_task1/asr1/local/gen_task1_data.py | 256 | ex_scoring["words"] = "placeholder" # diarization only annotation | CODE |
| LOW | egs2/chime7_task1/asr1/local/gen_task1_data.py | 365 | ex["words"] = "placeholder" | CODE |
| LOW | egs2/chime7_task1/asr1/local/get_lhotse_manifests.py | 171 | segment["words"] = "placeholder" | CODE |
| LOW | egs2/chime7_task1/asr1/local/get_lhotse_manifests.py | 321 | segment["words"] = "placeholder" | CODE |
| LOW | egs2/chime7_task1/asr1/local/get_lhotse_manifests.py | 479 | segment["words"] = "placeholder" | CODE |
| LOW | egs2/chime7_task1/diar_asr1/local/gen_task1_data.py | 111 | ex["words"] = "placeholder" | CODE |
| LOW | egs2/chime7_task1/diar_asr1/local/gen_task1_data.py | 114 | ex_scoring["words"] = "placeholder" | CODE |
| LOW | egs2/chime7_task1/diar_asr1/local/gen_task1_data.py | 253 | ex["words"] = "placeholder" # diarization only annotation | CODE |
| LOW | egs2/chime7_task1/diar_asr1/local/gen_task1_data.py | 256 | ex_scoring["words"] = "placeholder" # diarization only annotation | CODE |
| LOW | egs2/chime7_task1/diar_asr1/local/gen_task1_data.py | 365 | ex["words"] = "placeholder" | CODE |
| LOW | …2/chime7_task1/diar_asr1/local/get_lhotse_manifests.py | 171 | segment["words"] = "placeholder" | CODE |
| LOW | …2/chime7_task1/diar_asr1/local/get_lhotse_manifests.py | 321 | segment["words"] = "placeholder" | CODE |
| LOW | …2/chime7_task1/diar_asr1/local/get_lhotse_manifests.py | 479 | segment["words"] = "placeholder" | CODE |
| LOW | espnet2/speechlm/model/speechlm/multimodal_io/audio.py | 837 | dummy_data = torch.zeros( | CODE |
| LOW | espnet2/speechlm/model/speechlm/multimodal_io/audio.py | 843 | codes = self.encode_batch(dummy_data, dummy_length) | CODE |
| LOW | espnet2/speechlm/model/speechlm/multimodal_io/audio.py | 1126 | dummy_data = torch.zeros( | CODE |
| LOW | espnet2/speechlm/model/speechlm/multimodal_io/audio.py | 1132 | feats = self.encode_batch(dummy_data, dummy_length) | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | .gemini/config.yaml | 6 | # Currently, this will be generated by Copilot on request. | COMMENT |
| HIGH | espnet2/gan_svs/pits/ying_decoder.py | 7 | # TODO(Yifeng): This comment is generated by ChatGPT, which may not be accurate. | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| CRITICAL | espnet3/components/data/dataset_builder.py | 30 | ``espnet3.systems.base.system.BaseSystem.create_dataset()`` instantiates | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | doc/generate_code_doc.py | 24 | --api-key "YOUR_API_KEY" | STRING |
| HIGH | doc/generate_code_doc.py | 43 | --api-key "YOUR_API_KEY" \ | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | …ech/tts1/conf/tuning/train_fastspeech2_xpu_bucket.yaml | 11 | # Usage: | COMMENT |
| LOW | egs2/swbd/asr1/local/eval2000_data_prep.sh | 15 | # Example usage: | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | egs2/harpervalley/asr1/local/data_prep.py | 13 | def process_data(target_dir, source_dir, audio_dir, filename, min_length): | CODE |
| LOW | egs2/swbd_sentiment/asr1/local/prepare_sentiment.py | 41 | def process_data( | CODE |