Repository Analysis

espnet/espnet

End-to-End Speech Processing Toolkit

7.8 Low AI signal View on GitHub

Analysis Overview

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).

7.8
Adjusted Score
7.8
Raw Score
100%
Time Factor
2026-07-13
Last Push
9.9K
Stars
Python
Language
1.4M
Lines of Code
7.6K
Files
7.0K
Pattern Hits
2026-07-14
Scan Date
0.07
HC Hit Rate

What These Metrics Mean

Adjusted Score
Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score
The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor
The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits
Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate
High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files
Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

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.

No multi-scan history yet — run the scanner again to build trend data.

Severity Breakdown

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.

CRITICAL 1HIGH 523MEDIUM 617LOW 5883

Directory Score Breakdown

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.

Pattern Findings

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.

Cross-File Repetition390 hits · 1950 pts
SeverityFileLineSnippetContext
HIGHegs2/misp2021/asr1/local/prepare_far_data.py0read lines from text or write lines to txt :param textpath: filepath of text :param lines_content: list of lines or noneSTRING
HIGHegs2/misp2021/avsr1/local/prepare_far_data.py0read lines from text or write lines to txt :param textpath: filepath of text :param lines_content: list of lines or noneSTRING
HIGH…2021/avsr1/local/prepare_visual_embedding_extractor.py0read lines from text or write lines to txt :param textpath: filepath of text :param lines_content: list of lines or noneSTRING
HIGHegs2/chime8_task1/asr1/local/da_wer_scoring.py0modified from https://github.com/pyannote/ pyannote-metrics/blob/14af03ca61527621cfc0a3ed7237cc2969681915/ pyannote/metrSTRING
HIGHegs2/chime8_task1/diar_asr1/local/da_wer_scoring.py0modified from https://github.com/pyannote/ pyannote-metrics/blob/14af03ca61527621cfc0a3ed7237cc2969681915/ pyannote/metrSTRING
HIGHegs2/chime7_task1/asr1/local/da_wer_scoring.py0modified from https://github.com/pyannote/ pyannote-metrics/blob/14af03ca61527621cfc0a3ed7237cc2969681915/ pyannote/metrSTRING
HIGHegs2/chime7_task1/diar_asr1/local/da_wer_scoring.py0modified from https://github.com/pyannote/ pyannote-metrics/blob/14af03ca61527621cfc0a3ed7237cc2969681915/ pyannote/metrSTRING
HIGHegs2/chime8_task1/asr1/local/da_wer_scoring.py0modified from https://github.com/pyannote/ pyannote-metrics/blob/14af03ca61527621cfc0a3ed7237cc2969681915/ pyannote/metrSTRING
HIGHegs2/chime8_task1/diar_asr1/local/da_wer_scoring.py0modified from https://github.com/pyannote/ pyannote-metrics/blob/14af03ca61527621cfc0a3ed7237cc2969681915/ pyannote/metrSTRING
HIGHegs2/chime7_task1/asr1/local/da_wer_scoring.py0modified from https://github.com/pyannote/ pyannote-metrics/blob/14af03ca61527621cfc0a3ed7237cc2969681915/ pyannote/metrSTRING
HIGHegs2/chime7_task1/diar_asr1/local/da_wer_scoring.py0modified from https://github.com/pyannote/ pyannote-metrics/blob/14af03ca61527621cfc0a3ed7237cc2969681915/ pyannote/metrSTRING
HIGHegs2/chime8_task1/asr1/local/da_wer_scoring.py0dump re-ordered hypothesis as json files to allow for analyze errors. this is done for each session.STRING
HIGHegs2/chime8_task1/diar_asr1/local/da_wer_scoring.py0dump re-ordered hypothesis as json files to allow for analyze errors. this is done for each session.STRING
HIGHegs2/chime7_task1/asr1/local/da_wer_scoring.py0dump re-ordered hypothesis as json files to allow for analyze errors. this is done for each session.STRING
HIGHegs2/chime7_task1/diar_asr1/local/da_wer_scoring.py0dump re-ordered hypothesis as json files to allow for analyze errors. this is done for each session.STRING
HIGHegs2/chime8_task1/asr1/local/da_wer_scoring.py0logging diarization output to the specified output folder for each session. this is useful for analyzing errors.STRING
HIGHegs2/chime8_task1/diar_asr1/local/da_wer_scoring.py0logging diarization output to the specified output folder for each session. this is useful for analyzing errors.STRING
HIGHegs2/chime7_task1/asr1/local/da_wer_scoring.py0logging diarization output to the specified output folder for each session. this is useful for analyzing errors.STRING
HIGHegs2/chime7_task1/diar_asr1/local/da_wer_scoring.py0logging diarization output to the specified output folder for each session. this is useful for analyzing errors.STRING
HIGHegs2/chime8_task1/asr1/local/extract_noises.py0extract noises from the corpus based on the non-speech regions. e.g. {} /export/corpora4/chime5/audio/train/ \\ /export/STRING
HIGHegs2/chime8_task1/diar_asr1/local/extract_noises.py0extract noises from the corpus based on the non-speech regions. e.g. {} /export/corpora4/chime5/audio/train/ \\ /export/STRING
HIGHegs2/chime6/asr1/local/extract_noises.py0extract noises from the corpus based on the non-speech regions. e.g. {} /export/corpora4/chime5/audio/train/ \\ /export/STRING
HIGHegs2/chime7_task1/asr1/local/extract_noises.py0extract noises from the corpus based on the non-speech regions. e.g. {} /export/corpora4/chime5/audio/train/ \\ /export/STRING
HIGHegs2/chime7_task1/diar_asr1/local/extract_noises.py0extract noises from the corpus based on the non-speech regions. e.g. {} /export/corpora4/chime5/audio/train/ \\ /export/STRING
HIGHegs2/chime8_task1/asr1/local/extract_noises.py0location of the chime5 audio files. e.g. /export/corpora4/chime5/audio/train/STRING
HIGHegs2/chime8_task1/diar_asr1/local/extract_noises.py0location of the chime5 audio files. e.g. /export/corpora4/chime5/audio/train/STRING
HIGHegs2/chime6/asr1/local/extract_noises.py0location of the chime5 audio files. e.g. /export/corpora4/chime5/audio/train/STRING
HIGHegs2/chime7_task1/asr1/local/extract_noises.py0location of the chime5 audio files. e.g. /export/corpora4/chime5/audio/train/STRING
HIGHegs2/chime7_task1/diar_asr1/local/extract_noises.py0location of the chime5 audio files. e.g. /export/corpora4/chime5/audio/train/STRING
HIGHegs2/chime8_task1/asr1/local/extract_noises.py0location of the chime5 transcriptions. e.g. /export/corpora4/chime5/transcriptions/train/STRING
HIGHegs2/chime8_task1/diar_asr1/local/extract_noises.py0location of the chime5 transcriptions. e.g. /export/corpora4/chime5/transcriptions/train/STRING
HIGHegs2/chime6/asr1/local/extract_noises.py0location of the chime5 transcriptions. e.g. /export/corpora4/chime5/transcriptions/train/STRING
HIGHegs2/chime7_task1/asr1/local/extract_noises.py0location of the chime5 transcriptions. e.g. /export/corpora4/chime5/transcriptions/train/STRING
HIGHegs2/chime7_task1/diar_asr1/local/extract_noises.py0location of the chime5 transcriptions. e.g. /export/corpora4/chime5/transcriptions/train/STRING
HIGHegs2/chime8_task1/asr1/local/extract_noises.py0list of ids of the chime5 recordings from which noise is extracted. e.g. local/distant_audio_listSTRING
HIGHegs2/chime8_task1/diar_asr1/local/extract_noises.py0list of ids of the chime5 recordings from which noise is extracted. e.g. local/distant_audio_listSTRING
HIGHegs2/chime6/asr1/local/extract_noises.py0list of ids of the chime5 recordings from which noise is extracted. e.g. local/distant_audio_listSTRING
HIGHegs2/chime7_task1/asr1/local/extract_noises.py0list of ids of the chime5 recordings from which noise is extracted. e.g. local/distant_audio_listSTRING
HIGHegs2/chime7_task1/diar_asr1/local/extract_noises.py0list of ids of the chime5 recordings from which noise is extracted. e.g. local/distant_audio_listSTRING
HIGHegs2/chime8_task1/asr1/local/get_lhotse_manifests.py0slighly modified versions of lhotse recipes scripts in https://github.com/lhotse-speech/lhotse/blob/master/lhotse/recipeSTRING
HIGHegs2/chime7_task1/asr1/local/get_lhotse_manifests.py0slighly modified versions of lhotse recipes scripts in https://github.com/lhotse-speech/lhotse/blob/master/lhotse/recipeSTRING
HIGH…2/chime7_task1/diar_asr1/local/get_lhotse_manifests.py0slighly modified versions of lhotse recipes scripts in https://github.com/lhotse-speech/lhotse/blob/master/lhotse/recipeSTRING
HIGHegs2/chime8_task1/asr1/local/get_lhotse_manifests.py0returns the manifests which consist of the recordings and supervisions :param corpus_dir: pathlike, the path of dipco maSTRING
HIGHegs2/chime7_task1/asr1/local/get_lhotse_manifests.py0returns the manifests which consist of the recordings and supervisions :param corpus_dir: pathlike, the path of dipco maSTRING
HIGH…2/chime7_task1/diar_asr1/local/get_lhotse_manifests.py0returns the manifests which consist of the recordings and supervisions :param corpus_dir: pathlike, the path of dipco maSTRING
HIGHegs2/chime8_task1/asr1/local/gss_micrank.py0envelope variance channel selection method with (optionally) learnable per mel-band weights.STRING
HIGHegs2/chime8_task1/diar_asr1/local/gss_micrank.py0envelope variance channel selection method with (optionally) learnable per mel-band weights.STRING
HIGHegs2/chime7_task1/asr1/local/gss_micrank.py0envelope variance channel selection method with (optionally) learnable per mel-band weights.STRING
HIGHegs2/chime7_task1/diar_asr1/local/gss_micrank.py0envelope variance channel selection method with (optionally) learnable per mel-band weights.STRING
HIGHegs2/owsm_v2/s2t1/local/utils.py0merge a list of utterances to create a long utterance.STRING
HIGHegs2/owsm_v4/s2t1/local/utils.py0merge a list of utterances to create a long utterance.STRING
HIGHegs2/owsm_v3/s2t1/local/utils.py0merge a list of utterances to create a long utterance.STRING
HIGHegs2/owsm_v1/s2t1/local/utils.py0merge a list of utterances to create a long utterance.STRING
HIGHegs2/owsm_v2/s2t1/local/utils.py0generate a list of long utterances from a list of short utterances.STRING
HIGHegs2/owsm_v4/s2t1/local/utils.py0generate a list of long utterances from a list of short utterances.STRING
HIGHegs2/owsm_v3/s2t1/local/utils.py0generate a list of long utterances from a list of short utterances.STRING
HIGHegs2/owsm_v1/s2t1/local/utils.py0generate a list of long utterances from a list of short utterances.STRING
HIGHegs2/pjs/svs1/local/prep_segments_from_xml.py0generate segments according to structured musicxml.STRING
HIGHegs2/itako/svs1/local/prep_segments_from_xml.py0generate segments according to structured musicxml.STRING
HIGH…EMPLATE/asr1/pyscripts/utils/prep_segments_from_xml.py0generate segments according to structured musicxml.STRING
330 more matches not shown…
Redundant / Tautological Comments995 hits · 1494 pts
SeverityFileLineSnippetContext
LOWdocker/run.sh91# Check if image exists in the system and download if requiredCOMMENT
LOWtest/espnet2/bin/test_tts_batch_inference.py96 # Check if the model supports batch inferenceCOMMENT
LOWutils/eval_perm_free_error.py216 # Print resultsCOMMENT
LOWutils/dump.sh87# Write the filetype, this will be used for data2json.shCOMMENT
LOWutils/make_fbank.sh162# Write the filetype, this will be used for data2json.shCOMMENT
LOWutils/make_stft.sh144# Write the filetype, this will be used for data2json.shCOMMENT
LOWutils/eval-source-separation.py302 # Open files in write modeCOMMENT
LOWutils/convert_fbank.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWutils/apply_code_fixes.py209 # Read the fileCOMMENT
LOWutils/apply_code_fixes.py425 # Check if pycodestyle is installedCOMMENT
LOWegs2/primewords_chinese/asr1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/primewords_chinese/asr1/asr.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/primewords_chinese/asr1/local/data.sh6# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/librilight_limited/asr1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/librilight_limited/asr1/asr.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/librilight_limited/asr1/local/data.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/misp2021/asr1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/misp2021/asr1/asr.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/misp2021/avsr1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/misp2021/avsr1/asr.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/easycom/avsr1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/easycom/avsr1/asr.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/easycom/avsr1/local/data.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/coraal/asr1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/coraal/asr1/asr.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/coraal/asr1/local/data.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/whamr/enh1/enh.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/whamr/enh1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/whamr/enh1/local/whamr_data_prep.sh26# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/kising/svs1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/kising/svs1/svs.sh5# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/conferencingspeech21/enh1/enh.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/conferencingspeech21/enh1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/kn_openslr126/asr1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/kn_openslr126/asr1/asr.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/chime8_task1/asr1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/chime8_task1/asr1/asr.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/chime8_task1/diar_asr1/run_gss_asr.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/chime8_task1/diar_asr1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/chime8_task1/diar_asr1/asr.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/covost2/mt1/mt.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/covost2/mt1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/covost2/mt1/local/data.sh37# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/covost2/asr1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/covost2/asr1/asr.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/covost2/asr1/local/data.sh37# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/covost2/st1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/covost2/st1/st.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/covost2/st1/local/data.sh37# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/multimed_st/s2t1/s2t.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/ami/asr1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/ami/asr1/asr.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/ami/asr1/local/data.sh4# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/namine_ritsu_utagoe_db/svs1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/namine_ritsu_utagoe_db/svs1/svs.sh5# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/owsm_v2/s2t1/dump.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/owsm_v2/s2t1/s2t.sh3# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/owsm_v2/s2t1/run.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOW…owsm_v2/s2t1/local/prepare_multilingual_librispeech.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
LOWegs2/owsm_v2/s2t1/local/prepare_tedlium_filtered.sh2# Set bash to 'debug' mode, it will exit on :COMMENT
935 more matches not shown…
Over-Commented Block1408 hits · 1389 pts
SeverityFileLineSnippetContext
LOWtools/installers/install_vidaug.sh1#!/bin/bashCOMMENT
LOWtools/installers/install_openface.sh1#!/bin/bashCOMMENT
LOWtools/installers/install_deepxi.sh1#!/bin/bashCOMMENT
LOWtest/espnet3/parallel/test_parallel.py21)COMMENT
LOWtest/espnet3/parallel/test_parallel.py41# | test_parallel_for_streaming_yields_results | Confirms parallel_for yields |COMMENT
LOWtest/espnet3/parallel/test_parallel.py61# |--------------------------------------------------|---------------------------------|COMMENT
LOWtest/espnet3/utils/test_config.py21)COMMENT
LOWtest/espnet3/utils/test_config.py41# | test_config_with_one_include | Includes one external config file via `defaults` | # noqa: E501COMMENT
LOWtest/espnet3/utils/test_config.py601# ===============================================================COMMENT
LOWtest/espnet3/components/callbacks/test_callback.py21# | Test Name | Description |COMMENT
LOWtest/espnet3/components/modeling/test_model.py21# |-----------------------------------|--------------------------------------------------------------------------| # noqCOMMENT
LOWtest/espnet3/components/trainers/test_trainer.py21# Test Case Summary for ESPnet3LightningTrainerCOMMENT
LOWtest/espnet3/components/data/test_dataloader_builder.py21# | test_sampler_and_batch_sampler_conflict | Raises when sampler and batch_sampler are both set | COMMENT
LOWtest/espnet3/components/data/test_data_organizer.py21# ===============================================================COMMENT
LOWtest/espnet3/components/data/test_data_organizer.py41# | test_espnet_preprocessor_without_transform | Uses only ESPnet-style preprocessor |COMMENT
LOWtest/espnet3/components/data/test_data_organizer.py61# | | as preprocessor |COMMENT
LOWtest/espnet3/components/data/test_collect_stats.py21COMMENT
LOWutils/queue-freegpu.pl1#!/usr/bin/env perlCOMMENT
LOWutils/queue-freegpu.pl21# and a set of command line options.COMMENT
LOWutils/queue-freegpu.pl41# 5) Default behaviorCOMMENT
LOWutils/stdout.pl1#!/usr/bin/env perlCOMMENT
LOWutils/gdown.pl1#!/usr/bin/env perlCOMMENT
LOWegs3/TEMPLATE/asr/readme.md1# ESPnet3 ASR recipeCOMMENT
LOWegs3/TEMPLATE/asr/conf/demo.yaml1##########################################################COMMENT
LOWegs3/TEMPLATE/asr/conf/demo.yaml21# model(sample, **call_args)COMMENT
LOWegs3/TEMPLATE/asr/conf/demo.yaml61##########################################################COMMENT
LOWegs3/TEMPLATE/asr/conf/demo.yaml101COMMENT
LOWegs3/TEMPLATE/asr/conf/training.yaml1##########################################################COMMENT
LOWegs3/TEMPLATE/asr/conf/training.yaml21# If unset, `model` is instantiated directly via Hydra.COMMENT
LOWegs3/TEMPLATE/asr/conf/training.yaml41dataset_dir: /path/to/your/datasetCOMMENT
LOWegs3/TEMPLATE/asr/conf/training.yaml61# Each dataset entry supports:COMMENT
LOWegs3/TEMPLATE/asr/conf/training.yaml81# data_src_args:COMMENT
LOWegs3/TEMPLATE/asr/conf/training.yaml101 recipe_dir: ${recipe_dir}COMMENT
LOWegs3/TEMPLATE/asr/conf/training.yaml141scheduler_monitor: # e.g. `valid/loss` for monitored epoch schedulersCOMMENT
LOWegs3/TEMPLATE/asr/conf/training.yaml161# step_every_n_iters: 1 # only step on every N-th training iterationCOMMENT
LOWegs3/TEMPLATE/asr/conf/training.yaml181# - In the multiple-optimizer path, do not use trainer-levelCOMMENT
LOWegs3/TEMPLATE/asr/conf/metrics.yaml1##########################################################COMMENT
LOWegs3/TEMPLATE/asr/conf/inference.yaml1##########################################################COMMENT
LOWegs3/TEMPLATE/asr/conf/inference.yaml21# Override `inference_dir` only when you want a different output location.COMMENT
LOWegs3/TEMPLATE/asr/conf/inference.yaml41# - `transform` is optional and runs before `preprocessor`COMMENT
LOWegs3/TEMPLATE/asr/conf/inference.yaml81# If `dataset[i]` returns `{"speech": ..., "text": ..., "utt_id": ...}` andCOMMENT
LOWegs3/TEMPLATE/asr/conf/inference.yaml101# This value becomes the first column in generated SCP files and is used to mapCOMMENT
LOWegs3/TEMPLATE/asr/conf/inference.yaml121output_fn:COMMENT
LOWegs3/TEMPLATE/asr/conf/inference.yaml141# output_artifacts:COMMENT
LOWegs3/TEMPLATE/asr/conf/publication.yaml1##########################################################COMMENT
LOWegs3/TEMPLATE/asr/conf/publication.yaml21# - `pack_model` also receives `inference_config` and `metrics_config` whenCOMMENT
LOWegs3/TEMPLATE/asr/conf/publication.yaml41# in `meta.yaml` under the given key. `exclude` does NOT apply here, soCOMMENT
LOWegs3/TEMPLATE/asr/conf/publication.yaml81# Upload uses `huggingface_hub` with your local Hugging Face login.COMMENT
LOWegs3/mini_an4/asr/conf/demo.yaml1##########################################################COMMENT
LOWegs3/mini_an4/asr/conf/training.yaml1##########################################################COMMENT
LOWegs3/mini_an4/asr/conf/metrics.yaml1##########################################################COMMENT
LOWegs3/mini_an4/asr/conf/inference_transducer.yaml1##########################################################COMMENT
LOWegs3/mini_an4/asr/conf/inference_transducer.yaml21##########################################################COMMENT
LOWegs3/mini_an4/asr/conf/training_asr_transformer.yaml1##########################################################COMMENT
LOWegs3/mini_an4/asr/conf/inference.yaml1##########################################################COMMENT
LOWegs3/mini_an4/asr/conf/inference.yaml21##########################################################COMMENT
LOWegs3/mini_an4/asr/conf/training_asr_transducer.yaml1##########################################################COMMENT
LOW…4/asr/conf/training_transducer_asr_conformer_rnnt.yaml1##########################################################COMMENT
LOWegs3/mini_an4/asr/conf/training_asr_streaming.yaml1##########################################################COMMENT
LOWegs2/primewords_chinese/asr1/cmd.sh1# ====== About run.pl, queue.pl, slurm.pl, and ssh.pl ======COMMENT
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Hyper-Verbose Identifiers1425 hits · 1376 pts
SeverityFileLineSnippetContext
LOWtest/egs3/TEMPLATE/asr/test_run.py9def test_load_default_config_train_contains_expected_targets() -> None:CODE
LOWtest/egs3/TEMPLATE/asr/test_run.py19def test_load_default_config_infer_contains_expected_targets() -> None:CODE
LOWtest/egs3/TEMPLATE/asr/test_run.py31def test_load_and_merge_config_user_overrides_template_defaults(tmp_path: Path) -> None:CODE
LOWtest/egs3/TEMPLATE/asr/test_run.py59def test_load_and_merge_demo_config_inherits_template_readme(CODE
LOWtest/egs3/TEMPLATE/asr/test_run.py91def test_load_and_merge_config_none_path_returns_none() -> None:CODE
LOWtest/espnet3/demo/test_pack.py16def test_pack_demo_writes_assets(CODE
LOWtest/espnet3/demo/test_pack.py60def test_pack_demo_writes_requirements_txt(CODE
LOWtest/espnet3/demo/test_pack.py93def test_pack_demo_skips_requirements_txt_when_not_configured(CODE
LOWtest/espnet3/demo/test_pack.py116def test_pack_demo_skips_description_copy_when_ui_description_is_missing(CODE
LOWtest/espnet3/demo/test_pack.py150def test_pack_demo_supports_exclude_patterns_for_included_dirs(CODE
LOWtest/espnet3/demo/test_pack.py196def test_pack_demo_expands_globbed_include_paths(CODE
LOWtest/espnet3/demo/test_pack.py238def test_pack_demo_renders_space_readme(CODE
LOWtest/espnet3/demo/test_pack.py362def test_template_demo_yaml_defaults_update_false_and_delete_patterns(CODE
LOWtest/espnet3/demo/test_pack.py371def test_upload_demo_update_true_passes_exist_ok_and_delete_patterns(CODE
LOWtest/espnet3/demo/test_pack.py398def test_upload_demo_raises_on_existing_space_without_update(CODE
LOWtest/espnet3/demo/test_pack.py426def test_upload_demo_empty_delete_patterns_passes_none_to_upload_folder(CODE
LOWtest/espnet3/demo/test_app_builder.py61def test_build_demo_with_custom_provider(tmp_path: Path) -> None:CODE
LOWtest/espnet3/demo/test_app_builder.py93def test_build_demo_uses_inline_description(tmp_path: Path) -> None:CODE
LOWtest/espnet3/demo/test_app_builder.py123def test_default_assets_pass_through_inputs_and_outputs(tmp_path: Path) -> None:CODE
LOWtest/espnet3/demo/test_app_builder.py165def test_create_inference_fn_accepts_explicit_key_lists(tmp_path: Path) -> None:CODE
LOWtest/espnet3/demo/test_app_builder.py195def test_demo_main_writes_demo_log(monkeypatch, tmp_path: Path) -> None:CODE
LOWtest/espnet3/demo/test_app_builder.py234def test_default_text_ui_requires_gradio(monkeypatch) -> None:CODE
LOWtest/espnet3/demo/test_app_builder.py241def test_default_assets_use_only_label(monkeypatch) -> None:CODE
LOWtest/espnet3/demo/test_app_builder.py279def test_build_input_component_requires_type(tmp_path: Path) -> None:CODE
LOWtest/espnet3/demo/test_app_builder.py308def test_build_demo_model_loads_pretrained_tag(monkeypatch, tmp_path: Path) -> None:CODE
LOWtest/espnet3/parallel/test_inference_runner.py193def test_image_output_type_unsupported(tmp_path):CODE
LOWtest/espnet3/parallel/test_inference_runner.py208def test_streaming_on_example(test_audio_paths):CODE
LOWtest/espnet3/parallel/test_inference_runner.py219def test_streaming_chunked_processing_manual(test_audio_paths):CODE
LOWtest/espnet3/parallel/test_inference_runner.py249def test_streaming_chunk_count(test_audio_paths, chunk_sec, expected_min_chunks):CODE
LOWtest/espnet3/parallel/test_inference_runner.py293def _patch_parallel_client_no_submit(monkeypatch, n_workers: int = 2):CODE
LOWtest/espnet3/parallel/test_inference_runner.py328 def _fake_get_parallel_config():CODE
LOWtest/espnet3/parallel/test_inference_runner.py357 async def _fake_run_async_return_none(self, indices):CODE
LOWtest/espnet3/parallel/test_inference_runner.py383def test_async_jsonl_offline_with_base_runner(test_audio_paths, tmp_path, monkeypatch):CODE
LOWtest/espnet3/parallel/test_inference_runner.py409def test_async_jsonl_streaming_with_base_runner(CODE
LOWtest/espnet3/parallel/test_base_runner_batch.py31def test_batch_size_chunks_indices():CODE
LOWtest/espnet3/parallel/test_base_runner_batch.py38def test_batch_size_rejects_non_positive():CODE
LOWtest/espnet3/parallel/test_base_runner_batch.py52def test_forward_used_when_batch_size_set():CODE
LOWtest/espnet3/parallel/test_base_runner_batch.py65def test_forward_used_when_batch_size_is_none():CODE
LOWtest/espnet3/parallel/test_parallel.py117def test_set_parallel_copies_options_dict(local_cfg):CODE
LOWtest/espnet3/parallel/test_parallel.py127def test_set_and_get_parallel_config(local_cfg):CODE
LOWtest/espnet3/parallel/test_parallel.py183def test_parallel_for_streaming_yields_results(local_cfg):CODE
LOWtest/espnet3/parallel/test_parallel.py227def test_worker_env_injection_via_setup_fn(local_cfg):CODE
LOWtest/espnet3/parallel/test_parallel.py150def test_get_client_context_manager_and_parallel_map(set_global_parallel):CODE
LOWtest/espnet3/parallel/test_parallel.py158def test_parallel_map_internal_client(local_cfg, monkeypatch):CODE
LOWtest/espnet3/parallel/test_parallel.py198def test_parallel_map_preserves_input_order(local_cfg):CODE
LOWtest/espnet3/parallel/test_parallel.py209def test_parallel_for_completion_order(local_cfg):CODE
LOWtest/espnet3/parallel/test_parallel.py242def test_parallel_map_auto_inject_env_via_setup_fn(local_cfg):CODE
LOWtest/espnet3/parallel/test_parallel.py255def test_parallel_for_auto_inject_env_via_setup_fn_without_with(local_cfg):CODE
LOWtest/espnet3/parallel/test_parallel.py274def test_wrap_env_filters_unknown_keys(local_cfg):CODE
LOWtest/espnet3/parallel/test_parallel.py287def test_parallel_map_registers_setup_fn_when_passed_directly(local_cfg):CODE
LOWtest/espnet3/parallel/test_parallel.py299def test_parallel_for_registers_setup_fn_when_passed_directly(local_cfg):CODE
LOWtest/espnet3/parallel/test_parallel.py314def test_worker_env_conflict_detection(local_cfg):CODE
LOWtest/espnet3/parallel/test_parallel.py332def test_worker_env_conflict_detection_parallel_for(local_cfg):CODE
LOWtest/espnet3/parallel/test_parallel.py347def test_build_local_gpu_cluster_import_guard(monkeypatch):CODE
LOWtest/espnet3/parallel/test_parallel.py356def test_get_client_context_auto_shutdown(local_cfg, monkeypatch):CODE
LOWtest/espnet3/parallel/test_parallel.py390def test_get_client_registers_setup_fn_via_register_plugin_fallback(CODE
LOWtest/espnet3/parallel/test_parallel.py418def test_build_client_unknown_env_raises(local_cfg):CODE
LOWtest/espnet3/parallel/test_parallel.py425def test_build_client_kube_import_guard(monkeypatch, local_cfg):CODE
LOWtest/espnet3/parallel/test_parallel.py436def test_worker_plugin_setup_must_return_dict():CODE
LOWtest/espnet3/parallel/test_parallel.py443def test_parallel_map_registers_setup_fn_via_register_plugin_fallback(monkeypatch):CODE
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Decorative Section Separators361 hits · 1260 pts
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MEDIUMtools/installers/install_vidaug.sh2#==============================================================================COMMENT
MEDIUMtools/installers/install_vidaug.sh11#==============================================================================COMMENT
MEDIUMtools/installers/install_openface.sh2#==============================================================================COMMENT
MEDIUMtools/installers/install_openface.sh14#==============================================================================COMMENT
MEDIUMtools/installers/install_deepxi.sh2#==============================================================================COMMENT
MEDIUMtools/installers/install_deepxi.sh12#==============================================================================COMMENT
MEDIUMtest/espnet3/demo/test_pack.py321# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/demo/test_pack.py323# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/parallel/test_inference_runner.py149# ===============================================================COMMENT
MEDIUMtest/espnet3/parallel/test_inference_runner.py151# ===============================================================COMMENT
MEDIUMtest/espnet3/parallel/test_parallel.py112# ------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/parallel/test_parallel.py114# ------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/parallel/test_parallel.py135# ------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/parallel/test_parallel.py137# ------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/parallel/test_parallel.py178# ------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/parallel/test_parallel.py180# ------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/parallel/test_parallel.py221# ------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/parallel/test_parallel.py223# ------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/parallel/test_parallel.py25# ===============================================================COMMENT
MEDIUMtest/espnet3/parallel/test_parallel.py27# ===============================================================COMMENT
MEDIUMtest/espnet3/publication/test_inference_model.py160# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/publication/test_inference_model.py162# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/publication/test_inference_model.py175# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/publication/test_inference_model.py177# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/publication/test_inference_model.py266# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/publication/test_inference_model.py268# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/publication/test_inference_model.py316# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/publication/test_inference_model.py318# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/publication/test_inference_model.py354# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/publication/test_inference_model.py356# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/publication/test_inference_model.py380# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/publication/test_inference_model.py382# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/publication/test_inference_model.py426# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/publication/test_inference_model.py428# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/publication/test_inference_model.py477# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/publication/test_inference_model.py479# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/utils/test_task_utils.py17# ===============================================================COMMENT
MEDIUMtest/espnet3/utils/test_task_utils.py19# ===============================================================COMMENT
MEDIUMtest/espnet3/utils/test_config.py23# ===============================================================COMMENT
MEDIUMtest/espnet3/utils/test_config.py25# ===============================================================COMMENT
MEDIUMtest/espnet3/utils/test_config.py601# ===============================================================STRING
MEDIUMtest/espnet3/utils/test_config.py603# ===============================================================STRING
MEDIUMtest/espnet3/utils/test_publish.py45# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/utils/test_publish.py47# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/utils/test_publish.py113# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/utils/test_publish.py115# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/utils/test_publish.py232# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/utils/test_publish.py234# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/utils/test_publish.py275# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/utils/test_publish.py277# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/utils/test_publish.py943# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/utils/test_publish.py945# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/utils/test_publish.py1010# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/utils/test_publish.py1012# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/utils/test_publish.py1165# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/utils/test_publish.py1167# ---------------------------------------------------------------------------COMMENT
MEDIUMtest/espnet3/components/callbacks/test_callback.py16# ===============================================================COMMENT
MEDIUMtest/espnet3/components/callbacks/test_callback.py18# ===============================================================COMMENT
MEDIUMtest/espnet3/components/modeling/test_model.py15# ===============================================================COMMENT
MEDIUMtest/espnet3/components/modeling/test_model.py17# ===============================================================COMMENT
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Unused Imports709 hits · 702 pts
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LOWtools/check_install.py15CODE
LOWtools/check_install.py96CODE
LOWtest/espnet3/conftest.py56CODE
LOWtest/espnet3/demo/test_pack.py1CODE
LOWtest/espnet3/demo/test_app_builder.py1CODE
LOWtest/espnet3/parallel/test_inference_runner.py2CODE
LOWtest/espnet3/publication/test_inference_model.py1CODE
LOWtest/espnet3/utils/test_writer_utils.py1CODE
LOWtest/espnet3/utils/test_logging.py1CODE
LOWtest/espnet3/utils/test_publish.py1CODE
LOWtest/espnet3/systems/asr/metrics/test_metrics.py24CODE
LOWtest/espnet3/systems/asr/metrics/test_metrics.py42CODE
LOWtest/espnet3/systems/asr/metrics/test_metrics.py60CODE
LOWtest/espnet2/layers/test_houlsby_adapter_layer.py8CODE
LOWtest/espnet2/layers/test_houlsby_adapter_layer.py9CODE
LOWtest/espnet2/bin/test_macos_mps_model.py4CODE
LOWtest/espnet2/bin/test_macos_mps_model.py4CODE
LOW…net2/gan_tts/parallel_wavegan/test_parallel_wavegan.py130CODE
LOW…net2/gan_tts/parallel_wavegan/test_parallel_wavegan.py143CODE
LOWtest/espnet2/gan_tts/hifigan/test_hifigan.py178CODE
LOWtest/espnet2/gan_tts/hifigan/test_hifigan.py190CODE
LOWtest/espnet2/gan_tts/style_melgan/test_style_melgan.py117CODE
LOWtest/espnet2/gan_tts/style_melgan/test_style_melgan.py129CODE
LOWtest/espnet2/gan_tts/melgan/test_melgan.py127CODE
LOWtest/espnet2/gan_tts/melgan/test_melgan.py139CODE
LOWtest/espnet2/asr/test_ctc.py44CODE
LOWtest/espnet2/gan_codec/test_dac.py6CODE
LOWtest/espnet2/gan_codec/test_soundstream.py6CODE
LOWtest/espnet2/gan_codec/test_funcodec.py6CODE
LOWtest/espnet2/gan_codec/test_encodec.py6CODE
LOWtest/espnet2/gan_svs/visinger/test_visinger_plus.py8CODE
LOWtest/espnet2/gan_svs/visinger/test_visinger_plus.py237CODE
LOWtest/espnet2/gan_svs/visinger/test_visinger_plus.py429CODE
LOWtest/espnet2/gan_svs/visinger/test_visinger.py8CODE
LOWtest/espnet2/gan_svs/visinger/test_visinger.py892CODE
LOWtest/espnet2/gan_svs/visinger/test_visinger.py1081CODE
LOWtest/espnet2/speechlm/model/conftest.py22CODE
LOWtest/espnet2/speechlm/trainer/conftest.py124CODE
LOWtest/espnet2/speechlm/trainer/conftest.py125CODE
LOWtest_utils/patch_demo_config.py7CODE
LOWtest_utils/egs3/integration_test/asr/src/app_image.py3CODE
LOW…ion/demo_test_model_pack_default/demo_test_provider.py1CODE
LOW…tion/demo_test_model_pack_custom/demo_test_provider.py1CODE
LOWci/test_import_all.py8CODE
LOWci/test_import_all.py14CODE
LOWci/test_integration_espnet3_publication_check.py5CODE
LOWci/test_demo_ui.py1CODE
LOWegs3/TEMPLATE/asr/run.py4CODE
LOWegs3/TEMPLATE/asr/run.py7CODE
LOWegs3/TEMPLATE/asr/src/app.py3CODE
LOWegs3/mini_an4/asr/dataset/__init__.py3CODE
LOWegs3/mini_an4/asr/dataset/__init__.py4CODE
LOWegs3/mini_an4/asr/dataset/builder.py3CODE
LOWegs3/mini_an4/asr/dataset/dataset.py3CODE
LOWegs3/mini_an4/asr/src/tokenizer.py1CODE
LOWegs3/mini_an4/asr/src/app.py3CODE
LOWegs2/misp2021/asr1/local/prepare_far_data.py7CODE
LOWegs2/misp2021/avsr1/local/prepare_far_data.py7CODE
LOWegs2/misp2021/avsr1/local/prepare_far_video_roi.py8CODE
LOWegs2/misp2021/avsr1/local/prepare_far_video_roi.py12CODE
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Deep Nesting587 hits · 580 pts
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LOWtools/check_install.py60CODE
LOWtest/espnet3/parallel/test_inference_runner.py121CODE
LOWtest/espnet2/enh/separator/test_beamformer.py81CODE
LOWtest/espnet2/legacy/test_subsampling.py112CODE
LOWtest/espnet2/legacy/test_nets_utils.py57CODE
LOWtest/espnet2/train/test_dataset.py11CODE
LOWtest/espnet2/train/test_iterable_dataset.py11CODE
LOW…st/espnet2/gan_svs/visinger/test_visinger_generator.py96CODE
LOW…st/espnet2/gan_svs/visinger/test_visinger_generator.py274CODE
LOWtest/espnet2/text/test_phoneme_tokenizer.py81CODE
LOW…/espnet2/iterators/test_category_chunk_iter_factory.py22CODE
LOWtest/espnet2/iterators/test_chunk_iter_factory.py22CODE
LOWtest/espnet2/iterators/test_chunk_iter_factory.py99CODE
LOWtest_utils/egs3/integration_test/asr/src/app_image.py17CODE
LOWci/test_demo_ui.py39CODE
LOWci/test_demo_ui.py116CODE
LOWutils/eval_perm_free_error.py89CODE
LOWutils/calculate_rtf.py63CODE
LOWutils/json2sctm.py30CODE
LOWutils/text2token.py68CODE
LOWutils/eval-source-separation.py75CODE
LOWutils/eval-source-separation.py244CODE
LOWutils/trn2ctm.py24CODE
LOWutils/average_checkpoints.py11CODE
LOWutils/apply_code_fixes.py79CODE
LOWutils/apply_code_fixes.py185CODE
LOWutils/apply_code_fixes.py385CODE
LOWutils/change_yaml.py35CODE
LOWegs3/mini_an4/asr/dataset/builder.py156CODE
LOWegs2/misp2021/asr1/local/prepare_far_data.py358CODE
LOWegs2/misp2021/asr1/local/prepare_far_data.py92CODE
LOWegs2/misp2021/asr1/local/run_wpe.py14CODE
LOWegs2/misp2021/avsr1/local/prepare_far_data.py358CODE
LOWegs2/misp2021/avsr1/local/prepare_far_data.py92CODE
LOWegs2/misp2021/avsr1/local/prepare_far_video_roi.py55CODE
LOWegs2/misp2021/avsr1/local/prepare_far_video_roi.py247CODE
LOWegs2/misp2021/avsr1/local/run_wpe.py14CODE
LOWegs2/easycom/avsr1/local/extract_av_feature.py95CODE
LOWegs2/easycom/avsr1/local/scp_gen.py6CODE
LOWegs2/easycom/avsr1/local/preprocessing.py26CODE
LOWegs2/coraal/asr1/local/snippet_generation.py115CODE
LOWegs2/coraal/asr1/local/text_normalization.py18CODE
LOWegs2/kising/svs1/local/data_prep.py173CODE
LOW…2/conferencingspeech21/enh1/local/prepare_data_list.py11CODE
LOWegs2/chime8_task1/asr1/local/da_wer_scoring.py247CODE
LOWegs2/chime8_task1/asr1/local/get_lhotse_manifests.py23CODE
LOWegs2/chime8_task1/asr1/local/get_lhotse_manifests.py207CODE
LOWegs2/chime8_task1/asr1/local/get_lhotse_manifests.py355CODE
LOWegs2/chime8_task1/diar_asr1/local/da_wer_scoring.py247CODE
LOWegs2/chime8_task1/diar_asr1/local/pyannote_diarize.py41CODE
LOWegs2/chime8_task1/diar_asr1/local/pyannote_dprep.py38CODE
LOWegs2/multimed_st/s2t1/local/prepare_multimed_st.py80CODE
LOWegs2/owsm_v2/s2t1/local/prepare_wenetspeech.py25CODE
LOWegs2/owsm_v2/s2t1/local/prepare_gigast.py25CODE
LOWegs2/owsm_v2/s2t1/local/prepare_tedlium_filtered.py66CODE
LOWegs2/kosp2e/asr1/local/setup_data.py10CODE
LOWegs2/dns_icassp22/enh1/local/noisyspeech_synthesizer.py336CODE
LOWegs2/owsm_v4/s2t1/local/lid.py103CODE
LOWegs2/seame/asr1/local/preprocess.py186CODE
LOWegs2/seame/asr1/local/preprocess.py357CODE
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Docstring Block Structure109 hits · 545 pts
SeverityFileLineSnippetContext
HIGHegs3/mini_an4/asr/dataset/builder.py62Check whether raw AN4 source files are already available. Args: recipe_dir: Recipe root directory. STRING
HIGHegs3/mini_an4/asr/dataset/builder.py90Prepare raw AN4 source data under ``dataset_path``. Args: recipe_dir: Recipe root directory. STRING
HIGHegs3/mini_an4/asr/dataset/builder.py130Check whether task-ready manifest files are already built. Args: recipe_dir: Recipe root directory.STRING
HIGHegs3/mini_an4/asr/dataset/builder.py157Build train/valid/test manifests and converted WAV files. Args: recipe_dir: Recipe root directory. STRING
HIGHegs2/spoken_chatbot_arena/sds1/app.py166 Handles the evaluation of a selected metric based on user input and provided outputs. This function evaluaSTRING
HIGHegs2/spoken_chatbot_arena/sds1/app.py268 Handles the evaluation of a selected metric based on user input and provided outputs. This function evaluaSTRING
HIGHegs2/spoken_chatbot_arena/sds1/app.py426 Processes and transcribes an audio stream in real-time. This function handles the transcription of audio inputSTRING
HIGHegs2/TEMPLATE/sds1/app.py166 Handles the evaluation of a selected metric based on user input and provided outputs. This function evaluaSTRING
HIGHegs2/TEMPLATE/sds1/app.py268 Handles the evaluation of a selected metric based on user input and provided outputs. This function evaluaSTRING
HIGHegs2/TEMPLATE/sds1/app.py426 Processes and transcribes an audio stream in real-time. This function handles the transcription of audio inputSTRING
HIGH…sr1/pyscripts/utils/dialog_eval/TTS_intelligibility.py11 Compute and return Word Error Rate (WER) and Character Error Rate (CER) metrics for multiple ASR systems (ESPneSTRING
HIGH…asr1/pyscripts/utils/dialog_eval/TTS_speech_quality.py9 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.py17 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.py11 Compute and return Word Error Rate (WER) and Character Error Rate (CER) metrics for multiple judge ASR systems STRING
HIGHespnet3/parallel/base_runner.py176Compute items for the given index or batch (to be implemented by subclasses). Keep this as a ``@staticmethod`` STRING
HIGHespnet3/parallel/base_runner.py223Run sequentially on the driver using a locally built environment. Args: indices (Sequence[int]): InSTRING
HIGHespnet3/parallel/base_runner.py240Run with synchronous Dask mapping using per-worker environments. Args: indices (Sequence[int]): IndSTRING
HIGHespnet3/parallel/base_runner.py268Submit shards to a Dask cluster and gather or write results. Workflow: 1) Emit per-shard JSON specsSTRING
HIGHespnet3/parallel/base_runner.py352Dispatch execution according to the configured parallel mode. Args: indices (Iterable[int]): IndiceSTRING
HIGHespnet3/parallel/base_runner.py388Worker entrypoint: reconstruct runner/provider and process indices. This function is executed on a Dask worker. It STRING
HIGHespnet3/parallel/parallel.py237Wrap a user-defined function for a WorkerPlugin. This wrapper inspects the function's signature and automatically STRING
HIGHespnet3/parallel/parallel.py406Apply a function to an iterable of inputs in parallel using Dask. This helper takes care of: - Creating (or rSTRING
HIGHespnet3/parallel/parallel.py477Dispatch tasks to Dask and iterate over results as they complete. This helper: - Creates (or reuses) a Dask cSTRING
HIGHespnet3/publication/inference_model.py105User-facing inference wrapper for packaged ESPnet models. This class is the public runtime API for a bundle produceSTRING
HIGHespnet3/publication/inference_model.py188Build an inference model from a packed model directory. This is the main entry point for local publication bundSTRING
HIGHespnet3/publication/inference_model.py308Download a packaged model and build an inference model from it. This is the remote-loading companion to :meth:`STRING
HIGHespnet3/publication/inference_model.py391Run inference for a single sample. This is the main execution method used by :meth:`__call__` and by :mSTRING
HIGHespnet3/publication/inference_model.py445Run inference for a batch of samples. This helper first tries the same batched execution path used by :STRING
HIGHespnet3/publication/demo/session.py174Load a packed demo into a runtime session. Args: demo_dir: Packed demo directory. demo_config_path:STRING
HIGHespnet3/publication/demo/packing.py28Package a demo into a self-contained directory ready for upload. Reads ``system.demo_config`` and produces a directSTRING
HIGHespnet3/publication/demo/packing.py98Upload a packed demo directory to a Hugging Face Space. Expects the demo to have been packed already via :func:`pacSTRING
HIGHespnet3/publication/demo/assets.py49Build one input component for a demo spec. Args: spec: One resolved entry from ``demo_config.ui.inpSTRING
HIGHespnet3/publication/demo/assets.py65Build one output component for a demo spec. Args: spec: One resolved entry from ``demo_config.ui.ouSTRING
HIGHespnet3/publication/demo/assets.py161Return one registered asset. Args: name: Asset type name from demo config. Returns: STRING
HIGHespnet3/utils/publication_utils.py530Pack model artifacts for publishing. Args: training_config: Training configuration with ``recipe_dir`` and STRING
HIGHespnet3/utils/publication_utils.py675Upload packed model artifacts to a Hugging Face model repo. Args: system: ESPnet3 system instance with ``puSTRING
HIGHespnet3/utils/scp_utils.py31Resolve metric input aliases to SCP file paths. This function does not read SCP contents. It only validates that thSTRING
HIGHespnet3/utils/stages_utils.py76Parse CLI arguments and expand the requested stage selection. This helper is a thin wrapper around ``ArgumentParserSTRING
HIGHespnet3/utils/run_utils.py29Return whether a config value should be treated as absent. This helper normalizes the common "missing" checks used STRING
HIGHespnet3/utils/run_utils.py53Return whether a config can resolve experiment output paths on its own. Standalone inference or metrics configs areSTRING
HIGHespnet3/utils/run_utils.py94Copy selected runner context keys from one config into another. The runner uses this helper to keep runtime configsSTRING
HIGHespnet3/utils/run_utils.py228Apply runner context propagation across stage configs. Runner entry points call this after loading configs and befoSTRING
HIGHespnet3/utils/run_utils.py422Validate that runtime configs have enough experiment identity. This helper enforces the two supported runner modes:STRING
HIGHespnet3/utils/run_utils.py525Resolve a set of already-loaded configs in place. Runner entry points use `load_and_merge_config(..., resolve=FalseSTRING
HIGHespnet3/utils/config_utils.py45Return the current config stem for `${self_name:}` interpolation. This resolver supports config values such as `expSTRING
HIGHespnet3/utils/config_utils.py80Return an absolute path rewritten by ``_normalize_relative_resolver_paths``. Used as ``${config_path:../src/file.mdSTRING
HIGHespnet3/utils/config_utils.py106Passthrough for ``${set_corpus_and_system:}`` after load-time rewriting. This resolver is used as ``${set_corpus_anSTRING
HIGHespnet3/utils/logging_utils.py62Write per-stage metadata into the active stage log. This helper records the invocation context that is useful when STRING
HIGHespnet3/utils/logging_utils.py691Return a compact, fully-qualified name for objects or classes. Description: Produces a stable, human-readabSTRING
HIGHespnet3/utils/logging_utils.py735Return a fully-qualified name for callables when possible. Description: Uses module + qualname for callableSTRING
HIGHespnet3/utils/logging_utils.py880Log a component instance with class info, repr, and attributes. Description: Emits a structured log block fSTRING
HIGHespnet3/utils/logging_utils.py953Log a dictionary of instances with a common kind label. Description: Iterates over the provided mapping andSTRING
HIGHespnet3/components/metrics/base_metric.py73Yield rows from one or more SCP inputs with shared utterance IDs. This helper reads one or more SCP files in loSTRING
HIGHespnet3/components/callbacks/default_callbacks.py24Convert one logged scalar metric value to ``float``. Tensor values are detached first. Only scalar values are suppoSTRING
HIGHespnet3/components/callbacks/default_callbacks.py180Log compact train and validation metric summaries. This callback owns the human-readable metric logging for the defSTRING
HIGHespnet3/components/modeling/lightning_module.py29Build a static model summary for logs or publication metadata. Args: model: PyTorch model instance to summaSTRING
HIGHespnet3/components/modeling/lightning_module.py725Log model/optimizer/scheduler details for training runs. Description: Emits a compact summary of thSTRING
HIGHespnet3/components/data/dataset_builder.py9Interface for recipe-local dataset preparation helpers. This abstract class defines the contract used by the ``STRING
HIGHespnet3/components/data/dataset_builder.py57Check whether the raw source artifacts are already available. This method should answer only whether the sourceSTRING
HIGHespnet3/components/data/dataset_builder.py97Materialize the raw source artifacts needed by the dataset. Implementations typically download archives, copy dSTRING
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AI Structural Patterns394 hits · 390 pts
SeverityFileLineSnippetContext
LOWegs2/chime8_task1/diar_asr1/local/pyannote_finetune.py22CODE
LOW…clotho_v2/asr1/local/data_prep_clotho_chatgpt_mixup.py23CODE
LOWegs2/owsm_v4/s2t1/local/lid.py70CODE
LOW…/lipreading1/local/feature_extract/video_processing.py159CODE
LOW…lipreading1/local/feature_extract/models/pretrained.py42CODE
LOW…ps/libs/nnet3/train/frame_level_objf/acoustic_model.py21CODE
LOW…1/steps/libs/nnet3/train/frame_level_objf/raw_model.py20CODE
LOW…asr1/steps/libs/nnet3/train/frame_level_objf/common.py174CODE
LOW…r1/steps/libs/nnet3/train/chain_objf/acoustic_model.py65CODE
LOWegs2/chime7_task1/diar_asr1/local/pyannote_finetune.py22CODE
LOWegs2/catslu/asr1/local/data_prep.py34CODE
LOWespnet2/uasr/espnet_model.py36CODE
LOWespnet2/uasr/generator/conv_generator.py41CODE
LOWespnet2/uasr/discriminator/conv_discriminator.py29CODE
LOWespnet2/spk/layers/resnet_block.py37CODE
LOWespnet2/spk/layers/resnet_block.py75CODE
LOWespnet2/spk/layers/rawnet_block.py113CODE
LOWespnet2/spk/encoder/resnet_encoder.py92CODE
LOWespnet2/spk/encoder/ska_tdnn_encoder.py152CODE
LOWespnet2/spk/encoder/ska_tdnn_encoder.py196CODE
LOWespnet2/spk/encoder/ska_tdnn_encoder.py269CODE
LOWespnet2/spk/encoder/conformer_encoder.py80CODE
LOWespnet2/diar/decoder/linear_decoder.py28CODE
LOWespnet2/enh/espnet_model.py32CODE
LOWespnet2/enh/layers/uses.py51CODE
LOWespnet2/enh/layers/uses.py188CODE
LOWespnet2/enh/layers/uses.py407CODE
LOWespnet2/enh/layers/dptnet.py173CODE
LOWespnet2/enh/layers/dnn_beamformer.py59CODE
LOWespnet2/enh/layers/tcn.py162CODE
LOWespnet2/enh/layers/dnn_wpe.py13CODE
LOWespnet2/enh/layers/dc_crn.py100CODE
LOWespnet2/enh/layers/dc_crn.py208CODE
LOWespnet2/enh/layers/dc_crn.py313CODE
LOWespnet2/enh/layers/dc_crn.py507CODE
LOWespnet2/enh/layers/uses2_comp.py73CODE
LOWespnet2/enh/layers/uses2_comp.py223CODE
LOWespnet2/enh/layers/complexnn.py167CODE
LOWespnet2/enh/layers/complexnn.py253CODE
LOWespnet2/enh/layers/bsrnn.py16CODE
LOWespnet2/enh/layers/bsrnn.py141CODE
LOWespnet2/enh/layers/dcunet.py329CODE
LOWespnet2/enh/layers/dcunet.py468CODE
LOWespnet2/enh/layers/dprnn.py170CODE
LOWespnet2/enh/layers/dprnn.py339CODE
LOWespnet2/enh/layers/tcndenseunet.py62CODE
LOWespnet2/enh/layers/tcndenseunet.py234CODE
LOWespnet2/enh/layers/tcndenseunet.py454CODE
LOWespnet2/enh/layers/uses2_swin.py55CODE
LOWespnet2/enh/layers/uses2_swin.py153CODE
LOWespnet2/enh/layers/uses2_swin.py344CODE
LOWespnet2/enh/layers/swin_transformer.py254CODE
LOWespnet2/enh/layers/swin_transformer.py435CODE
LOWespnet2/enh/layers/ncsnpp.py43CODE
LOWespnet2/enh/layers/ncsnpp_utils/layerspp.py247CODE
LOWespnet2/enh/layers/ncsnpp_utils/upfirdn2d.py14CODE
LOWespnet2/enh/layers/ncsnpp_utils/layers.py450CODE
LOWespnet2/enh/layers/ncsnpp_utils/normalization.py121CODE
LOWespnet2/enh/layers/ncsnpp_utils/normalization.py137CODE
LOWespnet2/enh/loss/criterions/time_domain.py168CODE
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Excessive Try-Catch Wrapping242 hits · 335 pts
SeverityFileLineSnippetContext
LOWtools/test_soundfile.py44 except Exception:CODE
LOWtest/espnet3/conftest.py57 except Exception:CODE
LOWtest/espnet3/parallel/test_parallel.py372 except Exception:CODE
LOWtest/espnet2/bin/test_lid_inference.py85 except Exception as e:CODE
LOWtest/espnet2/bin/test_tts_inference.py62 except Exception:CODE
LOWtest/espnet2/bin/test_whisper_export_vocabulary.py21 except Exception as e:CODE
LOWtest/espnet2/bin/test_whisper_export_vocabulary.py28 except Exception as e:CODE
LOWtest/espnet2/bin/test_whisper_export_vocabulary.py35 except Exception as e:CODE
LOWtest/espnet2/bin/test_whisper_export_vocabulary.py96 except Exception as e:CODE
MEDIUMtest/espnet2/bin/test_whisper_export_vocabulary.py18def test_export_vocabulary_to_stdout():CODE
MEDIUMtest/espnet2/bin/test_whisper_export_vocabulary.py25def test_export_multilinugal_vocabulary_to_stdout():CODE
MEDIUMtest/espnet2/bin/test_whisper_export_vocabulary.py32def test_export_multilingual_vocabulary_to_stdout():CODE
MEDIUMtest/espnet2/bin/test_whisper_export_vocabulary.py93def test_export_vocabulary_to_stdout_sot():CODE
LOWtest/espnet2/speechlm/model/conftest.py27 except Exception:CODE
MEDIUMtest/espnet2/speechlm/model/conftest.py20def _liger_fused_ce_importable():CODE
LOWtest/espnet2/speechlm/trainer/conftest.py126 except Exception:CODE
LOWtest/espnet2/speechlm/trainer/conftest.py153 except Exception:CODE
LOWtest_utils/test_spk_embed_parallel.sh165 except Exception:CODE
LOWci/test_import_all.py9except Exception:CODE
LOWci/test_import_all.py15except Exception:CODE
LOWci/test_import_all.py46 except Exception as e:CODE
MEDIUMci/test_import_all.py52 print(f"Error: Failed to import {len(failed_imports)} modules")CODE
LOWci/test_integration_espnet3_publication_check.py50 except Exception:CODE
LOWutils/average_checkpoints.py93 except Exception as e:CODE
MEDIUMutils/apply_code_fixes.py75 print(f"Error running pycodestyle: {e}", file=sys.stderr)CODE
MEDIUMutils/apply_code_fixes.py179 print(f"Error processing {file_path}: {e}", file=sys.stderr)CODE
LOWutils/apply_code_fixes.py213 except Exception as e:CODE
MEDIUMutils/apply_code_fixes.py214 print(f"Error reading {file_path}: {e}", file=sys.stderr)CODE
LOWutils/apply_code_fixes.py328 except Exception as e:CODE
MEDIUMutils/apply_code_fixes.py329 print(f"Error writing to {file_path}: {e}", file=sys.stderr)CODE
MEDIUMutils/apply_code_fixes.py435 print("Error: pycodestyle is not installed. Please install it using pip:")CODE
LOWegs2/coraal/asr1/local/text_normalization.py69 except Exception:CODE
LOWegs2/multimed_st/s2t1/local/prepare_multimed_st.py146 except Exception as e:CODE
LOW…owsm_v2/s2t1/local/prepare_multilingual_librispeech.py29 except Exception as e:CODE
LOW…clotho_v2/asr1/local/data_prep_clotho_chatgpt_mixup.py177 except Exception as e:CODE
LOWegs2/clotho_v2/asr1/local/evaluation.py36 except Exception as exc:CODE
LOWegs2/dns_icassp22/enh1/local/noisyspeech_synthesizer.py270 except Exception as e:CODE
LOWegs2/owsm_v4/s2t1/local/ctc_seg.py274 except Exception as e:CODE
LOWegs2/owsm_v4/s2t1/local/lid.py166 except Exception as e:CODE
MEDIUMegs2/owsm_v4/s2t1/local/lid.py167 print(f"Error: {e}")CODE
LOWegs2/owsm_v3/s2t1/local/prepare_fleurs.py21except Exception:CODE
LOWegs2/voxlingua107/lid1/local/score.py33 except Exception as e:CODE
LOWegs2/voxlingua107/lid1/local/score.py65 except Exception as e:CODE
LOWegs2/fleurs/asr1/local/score_lang_id.py44 except Exception:CODE
LOWegs2/fleurs/asr1/local/create_dataset.py8except Exception:CODE
MEDIUMegs2/fleurs/asr1/local/create_dataset.py10 print("Error importing datasets library")CODE
LOWegs2/kinyarwanda_tts/tts1/local/data_prep.py52 except Exception as e:CODE
MEDIUMegs2/kinyarwanda_tts/tts1/local/data_prep.py54 print(f"Error {i}: {e}. Type: {type(audio_data)}")CODE
LOW…/lipreading1/local/feature_extract/video_processing.py148 except Exception:CODE
MEDIUMegs2/edacc/asr1/local/truncate_test.py37 print("Error: Kaldi files not found in the specified directory.")CODE
LOWegs2/spoken_chatbot_arena/sds1/app.py360 except Exception:CODE
LOWegs2/spoken_chatbot_arena/sds1/app.py370 except Exception:CODE
LOWegs2/spoken_chatbot_arena/sds1/app.py380 except Exception:CODE
LOWegs2/microsoft_speech/asr1/local/process.py77 except Exception as e:CODE
LOWegs2/microsoft_speech/asr1/local/process.py105 except Exception as e:CODE
LOWegs2/totonac/asr1/local/data_prep.py68 except Exception:CODE
MEDIUMegs2/totonac/asr1/local/data_prep.py65def ELANProcess(afile, spk_info):CODE
LOWegs2/TEMPLATE/sds1/app.py360 except Exception:CODE
LOWegs2/TEMPLATE/sds1/app.py370 except Exception:CODE
LOWegs2/TEMPLATE/sds1/app.py380 except Exception:CODE
182 more matches not shown…
Self-Referential Comments111 hits · 265 pts
SeverityFileLineSnippetContext
MEDIUMtools/extra_path.sh3# This file is a configuration fle for the commond settingCOMMENT
MEDIUMtools/extra_path.sh5# This file is mainly sourced in egs2/*/*/path.sh. e.g. egs2/mini_an4/asr1/path.shCOMMENT
MEDIUMtest/espnet3/components/data/test_collect_stats.py71 # Create a simple pattern to let us verify sums deterministicallyCOMMENT
MEDIUMtest/espnet2/fileio/test_datadir_writer.py27 # Create a directory, but set mismatched idsCOMMENT
MEDIUMtest/espnet2/speechlm/trainer/test_deepspeed_trainer.py166 # Create a fake checkpoint dirCOMMENT
MEDIUMtest/espnet2/speechlm/trainer/test_deepspeed_trainer.py188 # Create a checkpoint fileCOMMENT
MEDIUMtest/espnet2/speechlm/dataloader/test_audio_loader.py112 # Create a fake recordings.jsonl.gz so the path check passesCOMMENT
MEDIUMtest/espnet2/speechlm/dataloader/test_dataset.py219 # Create a dataset JSON and a registry YAML pointing to itCOMMENT
MEDIUMegs2/chime8_task1/asr1/run.sh282 # Creating the parent directoryCOMMENT
MEDIUMegs2/chime8_task1/diar_asr1/run_gss_asr.sh282 # Creating the parent directoryCOMMENT
MEDIUMegs2/voxtlm_v1/lm1/local/librilight/cut_by_vad.py2# This file is from Libri-Light repo: https://github.com/facebookresearch/COMMENT
MEDIUMegs2/myst/asr1/local/prepare_data.py29 # Create the partition directory in the Kaldi structureCOMMENT
MEDIUMegs2/TEMPLATE/asr1/utils/create_split_dir.pl65 # Create the destination directory and make the link.COMMENT
MEDIUM…s2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/attention.py15# This class is for parsing lines likeCOMMENT
MEDIUM…/TEMPLATE/asr1/steps/libs/nnet3/xconfig/convolution.py17# This class is for lines like the following:COMMENT
MEDIUM…/TEMPLATE/asr1/steps/libs/nnet3/xconfig/convolution.py329# This class is for lines like the following:COMMENT
MEDIUM…/TEMPLATE/asr1/steps/libs/nnet3/xconfig/convolution.py710# This class is for lines like the following:COMMENT
MEDIUM…/TEMPLATE/asr1/steps/libs/nnet3/xconfig/stats_layer.py14 """This class is for parsing lines likeSTRING
MEDIUM…TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py315 """This class is for lines likeSTRING
MEDIUM…TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py447 """This class is for lines likeSTRING
MEDIUM…TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py673 """This class is for parsing lines likeSTRING
MEDIUM…TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py1278 """This class is for parsing lines likeSTRING
MEDIUM…MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py18 """This class is for parsing lines likeSTRING
MEDIUM…MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py75 """This class is for parsing lines likeSTRING
MEDIUM…MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py137 """This class is for parsing lines likeSTRING
MEDIUM…MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py190 """This class is for parsing lines likeSTRING
MEDIUM…MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py261 """This class is for parsing lines likeSTRING
MEDIUM…MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py340 """This class is for parsing lines likeSTRING
MEDIUM…MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py436 """This class is for parsing lines likeSTRING
MEDIUM…MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py515 """This class is for parsing lines likeSTRING
MEDIUM…MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py589 """This class is for parsing lines likeSTRING
MEDIUM…MPLATE/asr1/steps/libs/nnet3/xconfig/trivial_layers.py664 """This class is for parsing lines likeSTRING
MEDIUM…LATE/asr1/steps/libs/nnet3/xconfig/composite_layers.py13# This class is intended to implement an extension of the factorized TDNNCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py16# This class is for lines likeCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py259# This class is for lines likeCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py567# This class is for lines likeCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py757# This class is for lines likeCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py955# This class is for lines likeCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py194 configs.append("# Defining the non-linearities")CODE
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py201 configs.append("# Defining the components for other cell computations")CODE
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py473 configs.append("# Defining the non-linearities")CODE
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py483 configs.append("# Defining the components for other cell computations")CODE
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py16# This class is for lines likeCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py172# This class is for lines likeCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py374# This class is for lines likeCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py609# This class is for lines likeCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py808# This class is for lines likeCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py1044# This class is for lines likeCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py1200# This class is for lines likeCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py1410# This class is for lines likeCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py1656# This class is for lines likeCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py1869# This class is for lines likeCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py132 configs.append("# Defining the non-linearities")CODE
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py137 configs.append("# Defining the components for other cell computations")CODE
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py330 configs.append("# Defining the non-linearities")CODE
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py335 configs.append("# Defining the components for other cell computations")CODE
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py551 configs.append("# Defining the non-linearities")CODE
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py556 configs.append("# Defining the components for other cell computations")CODE
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py765 configs.append("# Defining the non-linearities")CODE
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py770 configs.append("# Defining the components for other cell computations")CODE
51 more matches not shown…
Cross-Language Confusion20 hits · 128 pts
SeverityFileLineSnippetContext
HIGHtest/espnet3/utils/test_config.py250 - {"opt": null}CODE
HIGHutils/convert_fbank_to_wav.py83 "`source ./path.sh && pip install librosa==0.7.0`."CODE
HIGH…ert1/local/dump_librispeech_alignment_from_textgrid.py27 print("Please install praatio: . ./path.sh && python -m pip install praatio")CODE
HIGH…ssl1/local/dump_librispeech_alignment_from_textgrid.py27 print("Please install praatio: . ./path.sh && python -m pip install praatio")CODE
HIGH…asr2/local/dump_librispeech_alignment_from_textgrid.py27 print("Please install praatio: . ./path.sh && python -m pip install praatio")CODE
HIGHespnet2/layers/create_adapter_fn.py57 "Please install S3PRL: cd ${MAIN_ROOT}/tools && make s3prl.done"CODE
HIGHespnet2/layers/create_adapter_fn.py176 "Please install S3PRL: cd ${MAIN_ROOT}/tools && make s3prl.done"CODE
HIGHespnet2/bin/s2t_ctc_align.py36 "`. ./path.sh && pip install "CODE
HIGHespnet2/bin/asr_align.py36 "`. ./path.sh && pip install "CODE
HIGHespnet2/fileio/score_scp.py52 "(cd tools && make muskit.done)",CODE
HIGHespnet2/fileio/score_scp.py238 "(cd tools && make muskit.done)",CODE
HIGHespnet2/utils/griffin_lim.py97 "`source ./path.sh && pip install librosa==0.7.0`."CODE
HIGHespnet2/asr/frontend/s3prl.py31 print("Please install S3PRL: cd ${MAIN_ROOT}/tools && make s3prl.done")CODE
HIGHespnet2/asr/encoder/hubert_encoder.py334 print("Please install FairSeq: cd ${MAIN_ROOT}/tools && make fairseq.done")CODE
HIGHespnet2/asr/encoder/hubert_encoder.py542 print("Please install FairSeq: cd ${MAIN_ROOT}/tools && make fairseq.done")CODE
HIGHespnet2/asr/encoder/avhubert_encoder.py601 print("Please install FairSeq: cd ${MAIN_ROOT}/tools && make fairseq.done")CODE
HIGHespnet2/asr/encoder/avhubert_encoder.py870 print("Please install FairSeq: cd ${MAIN_ROOT}/tools && make fairseq.done")CODE
HIGHespnet2/asr/encoder/wav2vec2_encoder.py53 "Please install FairSeq: cd ${MAIN_ROOT}/tools && make fairseq.done"CODE
HIGHespnet2/train/trainer.py218 print("Please install S3PRL: cd ${MAIN_ROOT}/tools && make s3prl.done")CODE
HIGHespnet2/gan_svs/post_frontend/s3prl.py38 print("Please install S3PRL: cd ${MAIN_ROOT}/tools && make s3prl.done")CODE
AI Slop Vocabulary50 hits · 104 pts
SeverityFileLineSnippetContext
MEDIUMegs2/chime8_task1/diar_asr1/run.sh120 # training. You can try to leverage it in a semi-supervised way however.COMMENT
MEDIUMegs2/chime8_task1/diar_asr1/local/pyannote_diarize.py168 # because that one is trained on chime6 to be robust against noise andCOMMENT
MEDIUMegs2/chime8_task1/diar_asr1/local/pyannote_diarize.py170 # we want instead a model that is not so robust against that to useCOMMENT
MEDIUMegs2/ami/asr1/local/data.sh63 ### But you can utilize Kaldi recipes in most casesCOMMENT
MEDIUMegs2/hkust/asr1/local/data.sh42 ### But you can utilize Kaldi recipes in most casesCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/__init__.py10# This module has the python functions which facilitate the use of nnet3 toolkitCOMMENT
LOW…s2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/attention.py29 # Here we just list some likely combinations.. you can just add anyCOMMENT
LOW…/TEMPLATE/asr1/steps/libs/nnet3/xconfig/convolution.py36# want to skip batch normalization you could just call it 'conv-layer'.COMMENT
LOW…/TEMPLATE/asr1/steps/libs/nnet3/xconfig/convolution.py482 # input, so just return the output of the no-op component.COMMENT
LOW…TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py342 # there are no auxiliary outputs as this layer will just pass the inputCOMMENT
LOW…TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py348 # there are no auxiliary outputs as this layer will just pass the inputCOMMENT
LOW…TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py404 # there are no auxiliary outputs as this layer will just pass the outputCOMMENT
LOW…TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py1261 # there are no auxiliary outputs as this layer will just pass the inputCOMMENT
LOW…TEMPLATE/asr1/steps/libs/nnet3/xconfig/basic_layers.py1266 # there are no auxiliary outputs as this layer will just pass the inputCOMMENT
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py120 # in the below code we will just call descriptor_strings as descriptors for concisenessCOMMENT
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py397 # in the below code we will just call descriptor_strings as descriptors for concisenessCOMMENT
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py679 # in the below code we will just call descriptor_strings as descriptors for concisenessCOMMENT
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py864 # in the below code we will just call descriptor_strings as descriptors for concisenessCOMMENT
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py1090 # in the below code we will just call descriptor_strings as descriptors for concisenessCOMMENT
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py92 # in the below code we will just call descriptor_strings as descriptors for concisenessCOMMENT
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py286 # in the below code we will just call descriptor_strings as descriptors for concisenessCOMMENT
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py496 # in the below code we will just call descriptor_strings as descriptors for concisenessCOMMENT
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py720 # in the below code we will just call descriptor_strings as descriptors for concisenessCOMMENT
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py931 # in the below code we will just call descriptor_strings as descriptors for concisenessCOMMENT
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py1127 # in the below code we will just call descriptor_strings as descriptors for concisenessCOMMENT
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py1320 # in the below code we will just call descriptor_strings as descriptors for concisenessCOMMENT
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py1538 # in the below code we will just call descriptor_strings as descriptors for concisenessCOMMENT
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py1776 # in the below code we will just call descriptor_strings as descriptors for concisenessCOMMENT
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py1997 # in the below code we will just call descriptor_strings as descriptors for concisenessCOMMENT
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/train/common.py358 # we will throw an error at the end of the function so I will just passCOMMENT
MEDIUMegs2/TEMPLATE/uasr1/uasr.sh743 # Note(Jiatong): though name as unpaired text, we here utilize the paired data for internalCOMMENT
MEDIUMegs2/magicdata/asr1/local/data.sh92 ### But you can utilize Kaldi recipes in most casesCOMMENT
MEDIUMegs2/aishell2/asr1/local/data.sh38 ### But you can utilize Kaldi recipes in most casesCOMMENT
MEDIUMegs2/csj/asr1/local/run_spm.sh93 ### But you can utilize Kaldi recipes in most casesCOMMENT
MEDIUMegs2/csj/asr1/local/run_spm.sh109 ### But you can utilize Kaldi recipes in most casesCOMMENT
MEDIUMegs2/chime7_task1/diar_asr1/run.sh117 # training. You can try to leverage it in a semi-supervised way however.COMMENT
MEDIUMegs2/chime7_task1/diar_asr1/local/pyannote_diarize.py167 # because that one is trained on chime6 to be robust against noise andCOMMENT
MEDIUMegs2/chime7_task1/diar_asr1/local/pyannote_diarize.py169 # we want instead a model that is not so robust against that to useCOMMENT
MEDIUMegs2/timit/asr1/local/data.sh41 ### But you can utilize Kaldi recipes in most casesCOMMENT
MEDIUMegs2/timit/asr1/local/data.sh49 ### But you can utilize Kaldi recipes in most casesCOMMENT
MEDIUMegs2/timit/uasr1/uasr.sh743 # Note(Jiatong): though name as unpaired text, we here utilize the paired data for internalCOMMENT
MEDIUMegs2/timit/uasr1/local/data.sh41 ### But you can utilize Kaldi recipes in most casesCOMMENT
MEDIUMegs2/timit/uasr1/local/data.sh49 ### But you can utilize Kaldi recipes in most casesCOMMENT
LOWespnet2/enh/encoder/stft_encoder.py184 # so, here we just use "reflect mode"COMMENT
MEDIUMespnet2/sds/end_to_end/mini_omni/litgpt/utils.py559 # TODO(gituser): Make this more robustCOMMENT
LOWespnet2/bin/s2st_inference.py314 best_hyp = nbest_hyps[0] # just use the bestCODE
LOWespnet2/bin/s2st_inference.py410 best_hyp = nbest_hyps[0] # just use the bestCODE
MEDIUMespnet2/asr/state_spaces/s4.py343 # Essentially equivalent to S4D-LegSCOMMENT
MEDIUMespnet2/asr/state_spaces/s4.py356 # Essentially equivalent to S4D-LinCOMMENT
MEDIUMespnet2/speechlm/trainer/titan_trainer.py588 # To check the comprehensive performance, please use wandb.COMMENT
Slop Phrases35 hits · 90 pts
SeverityFileLineSnippetContext
MEDIUMutils/synth_wav.sh73 # also you can use multiple textCOMMENT
MEDIUMegs2/chime8_task1/asr1/run.sh36gss_max_batch_dur=200 # set accordingly to your GPU VRAM, A100 40GB you can use 360CODE
MEDIUMegs2/chime8_task1/asr1/run.sh44# we do not train with mixer 6 training + GSS here, but you can try.COMMENT
MEDIUMegs2/chime8_task1/asr1/run.sh56asr_cv_set=kaldi/chime6/dev/gss # we used only chime6 but maybe you can use a combination of allCODE
MEDIUMegs2/chime8_task1/diar_asr1/run_gss_asr.sh36gss_max_batch_dur=200 # set accordingly to your GPU VRAM, A100 40GB you can use 360CODE
MEDIUMegs2/chime8_task1/diar_asr1/run_gss_asr.sh44# we do not train with mixer 6 training + GSS here, but you can try.COMMENT
MEDIUMegs2/chime8_task1/diar_asr1/run_gss_asr.sh56asr_cv_set=kaldi/chime6/dev/gss # we used only chime6 but maybe you can use a combination of allCODE
MEDIUMegs2/chime8_task1/diar_asr1/local/pyannote_finetune.py40 # slows significantly training, but you can tryCOMMENT
LOWegs2/dns_icassp22/enh1/local/download_dns4_dataset.sh9# NOTE: Before downloading, make sure you have enough spaceCOMMENT
MEDIUMegs2/TEMPLATE/asr1/utils/retry.pl14# e.g. if your command line was "queue.pl [args]", you can replace thatCOMMENT
MEDIUMegs2/TEMPLATE/asr1/utils/split_scp.pl37# Note that you can use this script to split the utt2spk file itself,COMMENT
MEDIUMegs2/TEMPLATE/asr1/utils/parallel/retry.pl14# e.g. if your command line was "queue.pl [args]", you can replace thatCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py261# (you can also use the name 'lstmp-batchnorm-layer' if you want it to be followedCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py569# (you can also use the name 'fast-lstm-batchnorm-layer' if you want it to be followedCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/lstm.py959# (you can also use the name 'fast-lstmp-batchnorm-layer' if you want it to be followedCOMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py1083 # you can add somethig like 'self-repair-scale=xxx' to gru-nonlinearity-options.COMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py1246 # you can add somethig like 'self-repair-scale=xxx' to gru-nonlinearity-options.COMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py1457 # you can add somethig like 'self-repair-scale=xxx' to gru-nonlinearity-options.COMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py1702 # you can add somethig like 'self-repair-scale=xxx' to gru-nonlinearity-options.COMMENT
MEDIUMegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/gru.py1916 # you can add somethig like 'self-repair-scale=xxx' to gru-nonlinearity-options.COMMENT
MEDIUMegs2/mls/asr1/local/data.sh17data_split=full # full/1h/10h splits (mentioned in the original MLS paper, you can use the subset of training data)CODE
MEDIUMegs2/mls/asr2/local/data.sh17data_split=full # full/1h/10h splits (mentioned in the original MLS paper, you can use the subset of training data)CODE
MEDIUMegs2/chime6/asr1/local/prepare_baseline_chime6_data.sh181 # you can use both left and right channels for trainingCOMMENT
MEDIUMegs2/chime7_task1/asr1/run.sh41gss_max_batch_dur=90 # set accordingly to your GPU VRAM, A100 40GB you can use 360CODE
MEDIUMegs2/chime7_task1/asr1/run.sh49# we do not train with mixer 6 training + GSS here, but you can try.COMMENT
MEDIUMegs2/chime7_task1/asr1/run.sh60asr_cv_set=kaldi/chime6/dev/gss # use chime only for validation. you can also try using all datasets after gss: kaldi/deCODE
MEDIUMegs2/chime7_task1/asr1/local/gen_task1_data.sh14# but if you have it already you can use your existing one.COMMENT
MEDIUMegs2/chime7_task1/diar_asr1/run_gss_asr.sh41gss_max_batch_dur=90 # set accordingly to your GPU VRAM, A100 40GB you can use 360CODE
MEDIUMegs2/chime7_task1/diar_asr1/run_gss_asr.sh49# we do not train with mixer 6 training + GSS here, but you can try.COMMENT
MEDIUMegs2/chime7_task1/diar_asr1/run_gss_asr.sh60asr_cv_set=kaldi/chime6/dev/gss # use chime only for validation. you can also try using all datasets after gss: kaldi/deCODE
MEDIUMegs2/chime7_task1/diar_asr1/local/pyannote_finetune.py40 # slows significantly training, but you can tryCOMMENT
MEDIUMegs2/chime7_task1/diar_asr1/local/gen_task1_data.sh14# but if you have it already you can use your existing one.COMMENT
MEDIUMegs2/universal_se_v1/enh1/run.sh32# you can add the following arguments:COMMENT
LOWespnet3/systems/asr/task.py111 ), # If setting this to none, please make sure to provide input_size in the config.CODE
LOWespnet2/tasks/asr.py107 ), # If setting this to none, please make sure to provide input_size in the config.CODE
Modern Structural Boilerplate83 hits · 84 pts
SeverityFileLineSnippetContext
LOWtest/espnet3/publication/test_inference_model.py165def _set_schema_version(bundle_root: Path, version: int | None) -> None:CODE
LOWtest_utils/egs3/integration_test/asr/src/app_image.py14logger = logging.getLogger(__name__)CODE
LOWegs3/TEMPLATE/asr/src/app.py14logger = logging.getLogger(__name__)CODE
LOWegs3/mini_an4/asr/dataset/__init__.py6__all__ = ["Dataset", "DatasetBuilder"]CODE
LOWegs3/mini_an4/asr/src/app.py14logger = logging.getLogger(__name__)CODE
LOWegs2/easycom/avsr1/local/transforms.py13__all__ = [CODE
LOWegs2/lrs3/avsr1/local/transforms.py13__all__ = [CODE
LOW…2/TEMPLATE/asr1/pyscripts/utils/overlay_fbank_stats.py20logger = logging.getLogger(__name__)CODE
LOWegs2/TEMPLATE/asr1/steps/libs/__init__.py11__all__ = ["common"]CODE
LOWegs2/TEMPLATE/asr1/steps/libs/common.py27logger = logging.getLogger(__name__)CODE
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/xconfig/__init__.py39__all__ = ["utils", "layers", "parser"]CODE
LOW…MPLATE/asr1/steps/libs/nnet3/train/dropout_schedule.py12logger = logging.getLogger(__name__)CODE
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/train/common.py23logger = logging.getLogger(__name__)CODE
LOW…ps/libs/nnet3/train/frame_level_objf/acoustic_model.py17logger = logging.getLogger(__name__)CODE
LOW…r1/steps/libs/nnet3/train/frame_level_objf/__init__.py14__all__ = ["common", "raw_model", "acoustic_model"]CODE
LOW…1/steps/libs/nnet3/train/frame_level_objf/raw_model.py16logger = logging.getLogger(__name__)CODE
LOW…asr1/steps/libs/nnet3/train/frame_level_objf/common.py24logger = logging.getLogger(__name__)CODE
LOW…r1/steps/libs/nnet3/train/chain_objf/acoustic_model.py21logger = logging.getLogger(__name__)CODE
LOW…ATE/asr1/steps/libs/nnet3/train/chain_objf/__init__.py12__all__ = ["acoustic_model"]CODE
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/report/log_parse.py16logger = logging.getLogger(__name__)CODE
LOWegs2/TEMPLATE/asr1/steps/libs/nnet3/report/__init__.py8__all__ = ["log_parse"]CODE
LOWegs2/slurp_entity/asr1/local/evaluation/util.py15logger = logging.getLogger(__name__)CODE
LOWegs2/slurp_entity/asr1/local/evaluation/evaluate.py14logger = logging.getLogger(__name__)CODE
LOWespnet3/parallel/base_runner.py27logger = logging.getLogger(__name__)CODE
LOWespnet3/parallel/inference_provider.py12logger = logging.getLogger(__name__)CODE
LOWespnet3/parallel/parallel.py122def set_parallel(config: Optional[DictConfig]) -> None:CODE
LOWespnet3/publication/__init__.py5__all__ = ["InferenceModel"]CODE
LOWespnet3/publication/demo/session.py19logger = logging.getLogger(__name__)CODE
LOWespnet3/publication/demo/packing.py24logger = logging.getLogger(__name__)CODE
LOWespnet3/publication/demo/packing.py283def _setup_demo_assets(demo_dir: Path, demo_config) -> None:CODE
LOWespnet3/publication/demo/assets.py13logger = logging.getLogger(__name__)CODE
LOWespnet3/utils/publication_utils.py29logger = logging.getLogger(__name__)CODE
LOWespnet3/utils/stages_utils.py18logger = logging.getLogger(__name__)CODE
LOWespnet3/components/data/data_organizer.py19logger = logging.getLogger(__name__)CODE
LOWespnet3/components/data/collect_stats.py22__all__ = [CODE
LOWespnet3/components/data/dataloader.py13logger = logging.getLogger(__name__)CODE
LOWespnet3/systems/asr/system.py19logger = logging.getLogger(__name__)CODE
LOWespnet3/systems/base/system.py21logger = logging.getLogger(__name__)CODE
LOWespnet3/systems/base/inference_provider.py15logger = logging.getLogger(__name__)CODE
LOWespnet3/systems/base/metric.py14logger = logging.getLogger(__name__)CODE
LOWespnet3/systems/base/inference.py14logger = logging.getLogger(__name__)CODE
LOWespnet3/systems/base/training.py20logger = logging.getLogger(__name__)CODE
LOWespnet2/enh/diffusion/sampling/__init__.py11__all__ = ["Predictor", "Corrector", "get_sampler"]CODE
LOWespnet2/tasks/beats.py28logger = logging.getLogger(__name__)CODE
LOWespnet2/sds/end_to_end/mini_omni/litgpt/__init__.py21__all__ = ["GPT", "Config", "Tokenizer"]CODE
LOWespnet2/bin/asr_inference.py68logger = logging.getLogger(__name__)CODE
LOWespnet2/legacy/nets/beam_search.py12logger = logging.getLogger(__name__)CODE
LOWespnet2/legacy/nets/beam_search.py123 def set_hyp_primer(self, hyp_primer: List[int] = None) -> None:CODE
LOWespnet2/legacy/nets/batch_beam_search.py11logger = logging.getLogger(__name__)CODE
LOWespnet2/cls/espnet_model.py31logger = logging.getLogger(__name__)CODE
LOWespnet2/beats/espnet_model.py21logger = logging.getLogger(__name__)CODE
LOWespnet2/beats/audio_tokenizer.py18logger = logging.getLogger(__name__)CODE
LOWespnet2/beats/generate_beats_checkpoint.py19logger = logging.getLogger(__name__)CODE
LOWespnet2/gan_tts/parallel_wavegan/__init__.py6__all__ = ["ParallelWaveGANDiscriminator", "ParallelWaveGANGenerator"]CODE
LOWespnet2/gan_tts/hifigan/__init__.py10__all__ = [CODE
LOWespnet2/asr_transducer/decoder/abs_decoder.py80 def set_device(self, device: torch.Tensor) -> None:CODE
LOWespnet2/asr_transducer/decoder/rwkv_decoder.py160 def set_device(self, device: torch.device) -> None:CODE
LOWespnet2/asr_transducer/decoder/mega_decoder.py213 def set_device(self, device: torch.device) -> None:CODE
LOWespnet2/asr_transducer/decoder/rnn_decoder.py182 def set_device(self, device: torch.device) -> None:CODE
LOWespnet2/asr_transducer/decoder/stateless_decoder.py114 def set_device(self, device: torch.device) -> None:CODE
23 more matches not shown…
Structural Annotation Overuse26 hits · 43 pts
SeverityFileLineSnippetContext
LOWegs2/jtubespeech/asr1/run.sh20# NOTE: The default settings require 4 GPUs with 32 GB memoryCOMMENT
LOWegs2/ms_snsd/enh1/README.md24### Step 1: Download MS-SNSDCOMMENT
LOWegs2/ms_snsd/enh1/README.md40### Step 2: Generate Noisy DataCOMMENT
LOWegs2/ms_snsd/enh1/README.md67### Step 3: Prepare ESPnet Data Directories (train/valid/test)COMMENT
LOWegs2/acesinger/svs1/local/data_prep.py64 # Step 1: Load the audio fileCOMMENT
LOWegs2/acesinger/svs1/local/data_prep.py67 # Step 2: Calculate short-time energy for each frameCOMMENT
LOWegs2/acesinger/svs1/local/data_prep.py75 # Step 3: Find index of the first frame where energy exceeds the thresholdCOMMENT
LOWegs2/acesinger/svs1/local/data_prep.py86 # Step 1: Load the textgrid fileCOMMENT
LOWegs2/acesinger/svs1/local/data_prep.py89 # Step 2: Get the start and end times of non-silent utterancesCOMMENT
LOWegs2/acesinger/svs1/local/data_prep.py103 # Step 3: Load the transcription fileCOMMENT
LOWegs2/acesinger/svs1/local/data_prep.py108 # Step 4: Split the content in each rowCOMMENT
LOWegs2/acesinger/svs1/local/data_prep.py112 # Step 5: Find all the rows' corresponding name in the txt file starting with 2001COMMENT
LOWegs2/acesinger/svs1/local/data_prep.py117 # Step 6: Find the start and end times for the song's corresponding row namesCOMMENT
LOWegs2/spgispeech/asr1/run.sh22# NOTE: The default settings require 4 GPUs with 32 GB memoryCOMMENT
LOWegs2/laborotv/asr1/run_streaming.sh20# NOTE: The default settings require 4 GPUs with 32 GB memoryCOMMENT
LOWegs2/laborotv/asr1/run.sh20# NOTE: The default settings require 4 GPUs with 32 GB memoryCOMMENT
LOWegs2/csj/asr1/run.sh20# NOTE: The default settings require 4 GPUs with 32 GB memoryCOMMENT
LOWespnet2/samplers/category_power_sampler.py347 # Step 1: Category sampling within each datasetSTRING
LOWespnet2/samplers/category_power_sampler.py400 # Step 2: Dataset sampling using resampled dataSTRING
LOWespnet2/samplers/category_power_sampler.py448 # Step 1: Sample dataset d according to P(d)STRING
LOWespnet2/samplers/category_power_sampler.py454 # Step 2: Sample category l according to P(l | d)STRING
LOWespnet2/samplers/category_power_sampler.py468 # Step 3: Sample utterance uniformly fromSTRING
LOWespnet2/speechlm/trainer/deepspeed_trainer.py100 # Step 1: Check resume_pathCOMMENT
LOWespnet2/speechlm/trainer/deepspeed_trainer.py104 # Step 2: Check latest checkpoint in output_dirCOMMENT
LOWespnet2/speechlm/dataloader/dataset.py166 # Step 1: Collect all (dataset_name, json_path) pairsCOMMENT
LOWespnet2/speechlm/dataloader/dataset.py190 # Step 2: Load all datasets in parallel using multiprocessingCOMMENT
Modern AI Meta-Vocabulary14 hits · 39 pts
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MEDIUMegs3/TEMPLATE/asr/conf/training.yaml24# Path scaffold relative to the recipe root.COMMENT
MEDIUM…brimix/sot_asr1/conf/tuning/train_sot_asr_whisper.yaml25 # do_pad_trim: true # should be set when doing zero-shot inferenceCOMMENT
MEDIUM…sot_asr1/conf/tuning/train_sot_asr_whisper_medium.yaml25 # do_pad_trim: true # should be set when doing zero-shot inferenceCOMMENT
MEDIUM…/sot_asr1/conf/tuning/train_sot_asr_whisper_small.yaml25 # do_pad_trim: true # should be set when doing zero-shot inferenceCOMMENT
MEDIUMegs2/stop/asr1/conf/train_asr_whisper_full_correct.yaml35 # do_pad_trim: true # should be set when doing zero-shot inferenceCOMMENT
MEDIUM…asr1_pipeline/conf/train_asr_whisper_full_correct.yaml35 # do_pad_trim: true # should be set when doing zero-shot inferenceCOMMENT
MEDIUM…sr1/conf/tuning/train_asr_whisper_medium_finetune.yaml41 # do_pad_trim: true # should be set when doing zero-shot inferenceCOMMENT
MEDIUM…onf/tuning/train_asr_whisper_medium_lora_finetune.yaml41 # do_pad_trim: true # should be set when doing zero-shot inferenceCOMMENT
MEDIUM…conf/tuning/train_asr_whisper_large_lora_finetune.yaml41 # do_pad_trim: true # should be set when doing zero-shot inferenceCOMMENT
MEDIUM…/asr1/conf/train_asr_whisper_full_correct_specaug.yaml36 # do_pad_trim: true # should be set when doing zero-shot inferenceCOMMENT
MEDIUMegs2/ml_superb/asr1/local/data_prep.py249 reserve_flag = True # skip reserve lange for zero-shotCODE
MEDIUM…peech_100/asr1/conf/tuning/train_asr_whisper_full.yaml35 # do_pad_trim: true # should be set when doing zero-shot inferenceCOMMENT
MEDIUM…/interspeech2024_dsu_challenge/asr1/local/data_prep.py249 reserve_flag = True # skip reserve lange for zero-shotCODE
MEDIUM…/interspeech2024_dsu_challenge/asr2/local/data_prep.py249 reserve_flag = True # skip reserve lange for zero-shotCODE
Verbosity Indicators18 hits · 31 pts
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LOWegs2/acesinger/svs1/local/data_prep.py64 # Step 1: Load the audio fileCOMMENT
LOWegs2/acesinger/svs1/local/data_prep.py67 # Step 2: Calculate short-time energy for each frameCOMMENT
LOWegs2/acesinger/svs1/local/data_prep.py75 # Step 3: Find index of the first frame where energy exceeds the thresholdCOMMENT
LOWegs2/acesinger/svs1/local/data_prep.py86 # Step 1: Load the textgrid fileCOMMENT
LOWegs2/acesinger/svs1/local/data_prep.py89 # Step 2: Get the start and end times of non-silent utterancesCOMMENT
LOWegs2/acesinger/svs1/local/data_prep.py103 # Step 3: Load the transcription fileCOMMENT
LOWegs2/acesinger/svs1/local/data_prep.py108 # Step 4: Split the content in each rowCOMMENT
LOWegs2/acesinger/svs1/local/data_prep.py112 # Step 5: Find all the rows' corresponding name in the txt file starting with 2001COMMENT
LOWegs2/acesinger/svs1/local/data_prep.py117 # Step 6: Find the start and end times for the song's corresponding row namesCOMMENT
LOWespnet2/samplers/category_power_sampler.py347 # Step 1: Category sampling within each datasetSTRING
LOWespnet2/samplers/category_power_sampler.py400 # Step 2: Dataset sampling using resampled dataSTRING
LOWespnet2/samplers/category_power_sampler.py448 # Step 1: Sample dataset d according to P(d)STRING
LOWespnet2/samplers/category_power_sampler.py454 # Step 2: Sample category l according to P(l | d)STRING
LOWespnet2/samplers/category_power_sampler.py468 # Step 3: Sample utterance uniformly fromSTRING
LOWespnet2/speechlm/trainer/deepspeed_trainer.py100 # Step 1: Check resume_pathCOMMENT
LOWespnet2/speechlm/trainer/deepspeed_trainer.py104 # Step 2: Check latest checkpoint in output_dirCOMMENT
LOWespnet2/speechlm/dataloader/dataset.py166 # Step 1: Collect all (dataset_name, json_path) pairsCOMMENT
LOWespnet2/speechlm/dataloader/dataset.py190 # Step 2: Load all datasets in parallel using multiprocessingCOMMENT
Dead Code13 hits · 26 pts
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MEDIUM…lipreading1/local/feature_extract/models/pretrained.py98CODE
MEDIUM…lipreading1/local/feature_extract/models/pretrained.py99CODE
MEDIUM…lipreading1/local/feature_extract/models/pretrained.py100CODE
MEDIUM…asr1/steps/libs/nnet3/train/frame_level_objf/common.py624CODE
MEDIUM…asr1/steps/libs/nnet3/train/frame_level_objf/common.py630CODE
MEDIUM…asr1/steps/libs/nnet3/train/frame_level_objf/common.py635CODE
MEDIUM…asr1/steps/libs/nnet3/train/frame_level_objf/common.py636CODE
MEDIUM…asr1/steps/libs/nnet3/train/frame_level_objf/common.py637CODE
MEDIUM…asr1/steps/libs/nnet3/train/frame_level_objf/common.py638CODE
MEDIUM…asr1/steps/libs/nnet3/train/frame_level_objf/common.py640CODE
MEDIUM…asr1/steps/libs/nnet3/train/frame_level_objf/common.py642CODE
MEDIUMespnet2/layers/augmentation.py410CODE
MEDIUMespnet2/layers/augmentation.py419CODE
Fake / Example Data25 hits · 24 pts
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LOWegs2/chime8_task1/asr1/local/get_lhotse_manifests.py171 segment["words"] = "placeholder"CODE
LOWegs2/chime8_task1/asr1/local/get_lhotse_manifests.py321 segment["words"] = "placeholder"CODE
LOWegs2/chime8_task1/asr1/local/get_lhotse_manifests.py479 segment["words"] = "placeholder"CODE
LOW…MPLATE/asr1/pyscripts/utils/dialog_eval/LLM_Metrics.py76 >>> responses = ["Hello world", "Foo bar", "Lorem ipsum dolor sit amet"]STRING
LOW…MPLATE/asr1/pyscripts/utils/dialog_eval/LLM_Metrics.py76 >>> responses = ["Hello world", "Foo bar", "Lorem ipsum dolor sit amet"]STRING
LOWegs2/chime7_task1/asr1/local/gen_task1_data.py111 ex["words"] = "placeholder"CODE
LOWegs2/chime7_task1/asr1/local/gen_task1_data.py114 ex_scoring["words"] = "placeholder"CODE
LOWegs2/chime7_task1/asr1/local/gen_task1_data.py253 ex["words"] = "placeholder" # diarization only annotationCODE
LOWegs2/chime7_task1/asr1/local/gen_task1_data.py256 ex_scoring["words"] = "placeholder" # diarization only annotationCODE
LOWegs2/chime7_task1/asr1/local/gen_task1_data.py365 ex["words"] = "placeholder"CODE
LOWegs2/chime7_task1/asr1/local/get_lhotse_manifests.py171 segment["words"] = "placeholder"CODE
LOWegs2/chime7_task1/asr1/local/get_lhotse_manifests.py321 segment["words"] = "placeholder"CODE
LOWegs2/chime7_task1/asr1/local/get_lhotse_manifests.py479 segment["words"] = "placeholder"CODE
LOWegs2/chime7_task1/diar_asr1/local/gen_task1_data.py111 ex["words"] = "placeholder"CODE
LOWegs2/chime7_task1/diar_asr1/local/gen_task1_data.py114 ex_scoring["words"] = "placeholder"CODE
LOWegs2/chime7_task1/diar_asr1/local/gen_task1_data.py253 ex["words"] = "placeholder" # diarization only annotationCODE
LOWegs2/chime7_task1/diar_asr1/local/gen_task1_data.py256 ex_scoring["words"] = "placeholder" # diarization only annotationCODE
LOWegs2/chime7_task1/diar_asr1/local/gen_task1_data.py365 ex["words"] = "placeholder"CODE
LOW…2/chime7_task1/diar_asr1/local/get_lhotse_manifests.py171 segment["words"] = "placeholder"CODE
LOW…2/chime7_task1/diar_asr1/local/get_lhotse_manifests.py321 segment["words"] = "placeholder"CODE
LOW…2/chime7_task1/diar_asr1/local/get_lhotse_manifests.py479 segment["words"] = "placeholder"CODE
LOWespnet2/speechlm/model/speechlm/multimodal_io/audio.py837 dummy_data = torch.zeros(CODE
LOWespnet2/speechlm/model/speechlm/multimodal_io/audio.py843 codes = self.encode_batch(dummy_data, dummy_length)CODE
LOWespnet2/speechlm/model/speechlm/multimodal_io/audio.py1126 dummy_data = torch.zeros(CODE
LOWespnet2/speechlm/model/speechlm/multimodal_io/audio.py1132 feats = self.encode_batch(dummy_data, dummy_length)CODE
Synthetic Comment Markers2 hits · 15 pts
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HIGH.gemini/config.yaml6 # Currently, this will be generated by Copilot on request.COMMENT
HIGHespnet2/gan_svs/pits/ying_decoder.py7# TODO(Yifeng): This comment is generated by ChatGPT, which may not be accurate.COMMENT
Hallucination Indicators1 hit · 5 pts
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CRITICALespnet3/components/data/dataset_builder.py30 ``espnet3.systems.base.system.BaseSystem.create_dataset()`` instantiatesSTRING
Magic Placeholder Names2 hits · 5 pts
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HIGHdoc/generate_code_doc.py24 --api-key "YOUR_API_KEY"STRING
HIGHdoc/generate_code_doc.py43 --api-key "YOUR_API_KEY" \STRING
Example Usage Blocks2 hits · 4 pts
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LOW…ech/tts1/conf/tuning/train_fastspeech2_xpu_bucket.yaml11# Usage:COMMENT
LOWegs2/swbd/asr1/local/eval2000_data_prep.sh15# Example usage:COMMENT
Overly Generic Function Names2 hits · 2 pts
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LOWegs2/harpervalley/asr1/local/data_prep.py13def process_data(target_dir, source_dir, audio_dir, filename, min_length):CODE
LOWegs2/swbd_sentiment/asr1/local/prepare_sentiment.py41def process_data(CODE