linto-ai/whisper-timestamped
A Python library that extends OpenAI Whisper to generate word-level timestamps and confidence scores for multilingual automatic speech recognition.
Not currently ranked — collecting fresh signals.
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The repository provides an implementation that builds upon OpenAI’s Whisper models to predict word-level timestamps, which the base Whisper model does not natively support. It assigns a confidence score to each word and segment during transcription. The project uses PyTorch and the transformers library, supporting CPU and GPU inference with optional Voice Activity Detection preprocessing.
Frequently asked
- What is linto-ai/whisper-timestamped?
- A Python library that extends OpenAI Whisper to generate word-level timestamps and confidence scores for multilingual automatic speech recognition.
- Is whisper-timestamped open source?
- Yes — linto-ai/whisper-timestamped is open source, released under the AGPL-3.0 license.
- What language is whisper-timestamped written in?
- linto-ai/whisper-timestamped is primarily written in Python.
- How popular is whisper-timestamped?
- linto-ai/whisper-timestamped has 2.8k stars on GitHub.
- Where can I find whisper-timestamped?
- linto-ai/whisper-timestamped is on GitHub at https://github.com/linto-ai/whisper-timestamped.