PYA-1148: add transcription metrics#73
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Pull request overview
This PR adds transcription metrics functionality to pyannote-metrics, implementing two Word Error Rate (WER) metrics: Time-Constrained minimum-Permutation Word Error Rate (tcpWER) and standard Word Error Rate (WER). The implementation includes comprehensive text normalization capabilities with a focus on English language support.
Key changes:
- Added transcription metrics with tcpWER and WER implementations using meeteval library
- Introduced text normalization infrastructure with English-specific normalizers
- Added new optional dependencies: meeteval, more-itertools, regex, cython, and kaldialign
Reviewed changes
Copilot reviewed 8 out of 9 changed files in this pull request and generated 5 comments.
Show a summary per file
| File | Description |
|---|---|
| uv.lock | Updated dependency lock file with new packages (meeteval, more-itertools, regex, cython, kaldialign) and version updates for pyannote-core and pyannote-database |
| src/pyannote/metrics/transcription.py | Implements two WER metric classes with normalization support and meeteval integration |
| src/pyannote/metrics/normalizers/init.py | Provides normalizer selection logic with support for per-file language-based normalization |
| src/pyannote/metrics/normalizers/basic.py | Basic text normalization utilities for symbol and diacritic removal |
| src/pyannote/metrics/normalizers/english/english.py | Comprehensive English text normalizer with number and contraction handling |
| src/pyannote/metrics/normalizers/english/init.py | Module exports for English normalizer |
| src/pyannote/metrics/normalizers/english/english.json | British-American spelling mappings (1739 entries) |
| src/pyannote/metrics/normalizers/english/pre_english.json | Pre-normalization contraction mappings |
| pyproject.toml | Added new "transcription" optional dependency group |
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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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