AI Slop Code RIsk Monitor

voicepaw/so-vits-svc-fork

so-vits-svc fork with realtime support, improved interface and more features.

10.6 Moderate pattern signal View on GitHub

Maintenance and Governance Review

This report summarizes scanner evidence for voicepaw/so-vits-svc-fork, a Python project with 9,339 GitHub stars. SynthScan examined 11,650 lines of code across 81 source files, recording 105 pattern matches distributed across 9 syntactic categories. The legacy adjusted pattern signal is 10.6 (Moderate pattern signal); it is not an authorship estimate.

Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.

10.6
Adjusted Signal
10.6
Raw Pattern Score
100%
Time Factor
2026-10-11
Last Push
9.3K
Stars
Python
Language
11.7K
Lines of Code
81
Files
105
Pattern Hits
2026-10-12
Scan Date
0.01
HC Hit Rate

Risk Review · v3

Use each vector to guide manual verification of the underlying findings.

Cognitive Ownership Risk 17.2/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 42 finding(s).

Hallucinated Dependency & Supply Chain Risk 12.8/100 · LOW

Are imports declared and package/API names verified? 32 finding(s).

Agent Over-Engineering Ratio 27.7/100 · MEDIUM

Are wrappers, guards, and repeated structures necessary? 60 finding(s).

PR Review Velocity Impact 44.2/100 · MEDIUM

Which changes need focused human review? 105 finding(s).

What These Metrics Mean

Adjusted Signal
Legacy pattern score normalized per 1,000 scanned lines and multiplied by the repository-level time factor. It is not an estimate of AI authorship.
Raw Pattern Score
Sum of severity- and context-weighted pattern findings before applying the time factor.
Time Factor
A coarse multiplier based on repository last-push metadata. It does not identify when individual code was written.
Pattern Hits
Count of configured pattern findings. Review each location and surrounding code before acting.
HC Hit Rate
High- and critical-severity findings per scanned file. Severity is a configured detector weight, not proof of a vulnerability or authorship.
Lines / Files
Scan coverage denominators used by the legacy normalized score.

Pattern-Signal History

This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.

Severity Breakdown

Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.

CRITICAL 0HIGH 1MEDIUM 13LOW 91

Directory Score Breakdown

This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.

Pattern Findings

The scanner identified 105 distinct pattern matches across 9 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. 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 configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.

Unused Imports32 hits · 32 pts
SeverityFileLineSnippetContext
LOWtests/test_main.py12CODE
LOWtests/test_main.py13CODE
LOWtests/test_main.py16CODE
LOWtests/test_main.py17CODE
LOWtests/test_main.py18CODE
LOWtests/test_main.py19CODE
LOWtests/test_main.py20CODE
LOWtests/test_main.py25CODE
LOWsrc/so_vits_svc_fork/f0.py1CODE
LOWsrc/so_vits_svc_fork/hparams.py1CODE
LOWsrc/so_vits_svc_fork/dataset.py1CODE
LOWsrc/so_vits_svc_fork/utils.py1CODE
LOWsrc/so_vits_svc_fork/train.py1CODE
LOWsrc/so_vits_svc_fork/gui.py1CODE
LOWsrc/so_vits_svc_fork/__main__.py1CODE
LOWsrc/so_vits_svc_fork/cluster/__init__.py1CODE
LOWsrc/so_vits_svc_fork/cluster/train_cluster.py1CODE
LOWsrc/so_vits_svc_fork/inference/core.py1CODE
LOWsrc/so_vits_svc_fork/inference/main.py1CODE
LOW…c_fork/preprocessing/preprocess_speaker_diarization.py1CODE
LOW…/so_vits_svc_fork/preprocessing/preprocess_classify.py1CODE
LOW…/so_vits_svc_fork/preprocessing/preprocess_resample.py1CODE
LOW…vits_svc_fork/preprocessing/preprocess_flist_config.py1CODE
LOWsrc/so_vits_svc_fork/preprocessing/preprocess_split.py1CODE
LOW…so_vits_svc_fork/preprocessing/preprocess_hubert_f0.py1CODE
LOWsrc/so_vits_svc_fork/modules/commons.py1CODE
LOW…/so_vits_svc_fork/modules/decoders/hifigan/__init__.py1CODE
LOW…so_vits_svc_fork/modules/decoders/mb_istft/__init__.py1CODE
LOW…so_vits_svc_fork/modules/decoders/mb_istft/__init__.py1CODE
LOW…so_vits_svc_fork/modules/decoders/mb_istft/__init__.py1CODE
LOW…so_vits_svc_fork/modules/decoders/mb_istft/__init__.py6CODE
LOW…so_vits_svc_fork/modules/decoders/mb_istft/__init__.py7CODE
Excessive Try-Catch Wrapping17 hits · 20 pts
SeverityFileLineSnippetContext
LOWsrc/so_vits_svc_fork/logger.py43 except Exception:CODE
MEDIUMsrc/so_vits_svc_fork/logger.py33def is_notebook():CODE
LOWsrc/so_vits_svc_fork/utils.py129 except Exception as e:CODE
LOWsrc/so_vits_svc_fork/utils.py148 except Exception as e:CODE
LOWsrc/so_vits_svc_fork/utils.py431 except Exception:STRING
LOWsrc/so_vits_svc_fork/train.py329 except Exception as e:CODE
LOWsrc/so_vits_svc_fork/train.py345 except Exception as e:CODE
LOWsrc/so_vits_svc_fork/gui.py125 except Exception as e:CODE
LOW⚡src/so_vits_svc_fork/gui.py540 except Exception as e:CODE
LOWsrc/so_vits_svc_fork/gui.py690 except Exception as e:CODE
LOW⚡src/so_vits_svc_fork/gui.py747 except Exception as e:CODE
LOW⚡src/so_vits_svc_fork/gui.py752 except Exception as e:CODE
LOW⚡src/so_vits_svc_fork/gui.py760 except Exception as e:CODE
LOWsrc/so_vits_svc_fork/inference/main.py83 except Exception as e:CODE
LOW…c_fork/preprocessing/preprocess_speaker_diarization.py29 except Exception as e:CODE
LOW…/so_vits_svc_fork/preprocessing/preprocess_resample.py65 except Exception as e:CODE
LOWsrc/so_vits_svc_fork/preprocessing/preprocess_split.py27 except Exception as e:CODE
Dead Code9 hits · 18 pts
SeverityFileLineSnippetContext
MEDIUMsrc/so_vits_svc_fork/__main__.py827CODE
MEDIUMsrc/so_vits_svc_fork/__main__.py828CODE
MEDIUMsrc/so_vits_svc_fork/__main__.py830CODE
MEDIUMsrc/so_vits_svc_fork/__main__.py832CODE
MEDIUMsrc/so_vits_svc_fork/__main__.py833CODE
MEDIUMsrc/so_vits_svc_fork/__main__.py835CODE
MEDIUMsrc/so_vits_svc_fork/__main__.py836CODE
MEDIUMsrc/so_vits_svc_fork/__main__.py837CODE
MEDIUMsrc/so_vits_svc_fork/__main__.py839CODE
Hyper-Verbose Identifiers17 hits · 16 pts
SeverityFileLineSnippetContext
LOWsrc/so_vits_svc_fork/utils.py163def remove_weight_norm_if_exists(module, name: str = "weight"):CODE
LOWsrc/so_vits_svc_fork/utils.py225def _substitute_if_same_shape(to_: dict[str, Any], from_: dict[str, Any]) -> None:STRING
LOWsrc/so_vits_svc_fork/utils.py362def plot_spectrogram_to_numpy(spectrogram: ndarray) -> ndarray:STRING
LOWsrc/so_vits_svc_fork/gui.py83def get_supported_file_types_concat() -> tuple[tuple[str, str], ...]:CODE
LOWsrc/so_vits_svc_fork/gui.py87def validate_output_file_type(output_path: Path) -> bool:CODE
LOWsrc/so_vits_svc_fork/cluster/__init__.py37def get_cluster_center_result(model: Any, x: Any, speaker: Any):CODE
LOW…c_fork/preprocessing/preprocess_speaker_diarization.py57def preprocess_speaker_diarization(CODE
LOWsrc/so_vits_svc_fork/preprocessing/preprocess_utils.py4def check_hubert_min_duration(audio: ndarray, sr: int) -> bool:CODE
LOWsrc/so_vits_svc_fork/modules/mel_processing.py60def dynamic_range_compression_torch(x, C=1, clip_val=1e-5):CODE
LOWsrc/so_vits_svc_fork/modules/mel_processing.py69def dynamic_range_decompression_torch(x, C=1):CODE
LOWsrc/so_vits_svc_fork/modules/mel_processing.py83def spectral_de_normalize_torch(magnitudes):CODE
LOWsrc/so_vits_svc_fork/modules/attentions.py316 def _matmul_with_relative_values(self, x, y):CODE
LOWsrc/so_vits_svc_fork/modules/attentions.py325 def _matmul_with_relative_keys(self, x, y):CODE
LOWsrc/so_vits_svc_fork/modules/attentions.py350 def _relative_position_to_absolute_position(self, x):CODE
LOWsrc/so_vits_svc_fork/modules/attentions.py367 def _absolute_position_to_relative_position(self, x):CODE
LOWsrc/so_vits_svc_fork/modules/commons.py22def rand_slice_segments_with_pitch(x: Tensor, f0: Tensor, x_lengths: Tensor | int | None, segment_size: int | None):CODE
LOWsrc/so_vits_svc_fork/modules/commons.py83def fused_add_tanh_sigmoid_multiply(input_a, input_b, n_channels):CODE
AI Structural Patterns12 hits · 12 pts
SeverityFileLineSnippetContext
LOWsrc/so_vits_svc_fork/f0.py114CODE
LOWsrc/so_vits_svc_fork/train.py185CODE
LOWsrc/so_vits_svc_fork/train.py219CODE
LOWsrc/so_vits_svc_fork/gui.py80CODE
LOWsrc/so_vits_svc_fork/__main__.py227CODE
LOWsrc/so_vits_svc_fork/inference/core.py219CODE
LOWsrc/so_vits_svc_fork/inference/main.py21CODE
LOWsrc/so_vits_svc_fork/inference/main.py108CODE
LOWsrc/so_vits_svc_fork/modules/mel_processing.py80CODE
LOWsrc/so_vits_svc_fork/modules/mel_processing.py85CODE
LOWsrc/so_vits_svc_fork/modules/attentions.py323CODE
LOWsrc/so_vits_svc_fork/modules/attentions.py332CODE
Deep Nesting10 hits · 10 pts
SeverityFileLineSnippetContext
LOWsrc/so_vits_svc_fork/f0.py35CODE
LOWsrc/so_vits_svc_fork/f0.py184CODE
LOWsrc/so_vits_svc_fork/dataset.py26CODE
LOWsrc/so_vits_svc_fork/utils.py34CODE
LOWsrc/so_vits_svc_fork/utils.py225CODE
LOWsrc/so_vits_svc_fork/utils.py312CODE
LOWsrc/so_vits_svc_fork/gui.py129CODE
LOWsrc/so_vits_svc_fork/cluster/train_cluster.py18CODE
LOW…/so_vits_svc_fork/preprocessing/preprocess_classify.py16CODE
LOWsrc/so_vits_svc_fork/modules/synthesizers.py30CODE
AI Slop Vocabulary3 hits · 6 pts
SeverityFileLineSnippetContext
MEDIUMsrc/so_vits_svc_fork/gui.py343 "Block seconds", # \n(big -> more robust, slower, (the same) latency)"CODE
MEDIUMsrc/so_vits_svc_fork/gui.py356 "Additional Infer seconds (before)", # \n(big -> more robust, slower)"CODE
MEDIUMsrc/so_vits_svc_fork/gui.py369 "Additional Infer seconds (after)", # \n(big -> more robust, slower, additional latency)"CODE
Empty Error Handlers1 hit · 5 pts
SeverityFileLineSnippetContext
HIGHsrc/so_vits_svc_fork/utils.py46except ImportError:CODE
Modern Structural Boilerplate4 hits · 5 pts
SeverityFileLineSnippetContext
LOW⚡src/so_vits_svc_fork/gui.py547 def update_speaker() -> None:CODE
LOW⚡src/so_vits_svc_fork/gui.py556 def update_devices() -> None:CODE
LOW…/so_vits_svc_fork/modules/decoders/hifigan/__init__.py3__all__ = ["NSFHifiGANGenerator"]CODE
LOW…so_vits_svc_fork/modules/decoders/mb_istft/__init__.py9__all__ = [CODE