A utility library for working with speech-to-text transcriptions.
Project description
stt-utils
A utility library for working with word-level speech-to-text timestamps. The main goal is to simplify working with timestamps generated by openai's whisper model with "word" timestamp_granularities.
Features
- Realign word timestamps with the full text
- Merge several transcriptions together
- (Optional dependency) Split long audio into smaller segments by the moments of silence.
Installation
pip install stt-utils
Usage
Python API
Align word timestamps from openai whisper
from stt_utils import UnprocessedTranscription, Transcription
transcription = openai_client.audio.transcriptions.create(
model="whisper-1",
file=audio_file,
response_format="verbose_json",
timestamp_granularities=["word"],
)
unprocessed_transcription = UnprocessedTranscription(**transcription.model_dump())
aligned_transcription = Transcription.from_unprocessed_transcription(unprocessed_transcription)
aligned_transcription.dump_prevew()
Development
It is recomended to use uv toolset for development.
Testing
There are unittests available in the tests/ directory.
uv run pytest
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
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