speech-industry / bournemouth-forced-aligner
Extract phoneme-level timestamps from speeh audio.
Why this job: topics: text-to-speech, tts, speech-recognition
What it does
BFA is a multilingual forced aligner. Given speech audio and its transcript, it returns start and end times for every phoneme and word, exported as Praat TextGrids or JSON. Pronunciations come from a neural grapheme-to-phoneme model, so no pronunciation dictionary and no training on your data are needed.
Get started
pip install bournemouth-forced-aligner- Maintenance
- Active
- Last commit 4 days ago
- Stars
- 173
- +2 this week
- Licence
- GPL-3.0
- Share-alike terms
- Downloads for
- None listed
- No release files
- Latest version
- v2.0.2
- Released 4 days ago
- Built with
- Python
- 83% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 8 merged
- 0 waiting
- Releases
- 12
- 7 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 83%
- JavaScript 9%
- C++ 6%
- HTML 2%
Topics
- alignment
- forced-alignment
- phoneme-prediction
- phoneme-recognition
- phonemes
- speech
- speech-processing
- speech-recognition
- text-to-speech
- timestamps
- tts
- tts-dataset
Project record
- JobSpeech and audio
- StatusListed
- Commits98
- Forks17
- Watching6
- Stars in 28 days+5
- CreatedAug 19, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026