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<h1 align="center">WhisperX</h1> <h1 align="center">WhisperX</h1>
<p align="center">Whisper Automatic Speech Recognition with improved timestamp accuracy using forced alignment. <p align="center">Whisper-Based Automatic Speech Recognition with improved timestamp accuracy using forced alignment.
</p> </p>
<h2 align="center">What is it</h2> <h2 align="center">What is it</h2>
This repository refines the timestamps of openAI's Whisper model via forced aligment with phoneme-level ASR models (e.g. wav2vec2) This repository refines the timestamps of openAI's Whisper model via forced aligment with phoneme-based ASR models (e.g. wav2vec2.0)
**Whisper** is an Automatic Speech Recognition model [developed by OpenAI](https://github.com/openai/whisper), trained on a large dataset of diverse audio. Whilst it does produces highly accurate transcriptions, the corresponding timestamps are at the utterance-level, not per word, and can be inaccurate by several seconds. **Whisper** is an Automatic Speech Recognition model [developed by OpenAI](https://github.com/openai/whisper), trained on a large dataset of diverse audio. Whilst it does produces highly accurate transcriptions, the corresponding timestamps are at the utterance-level, not per word, and can be inaccurate by several seconds.