huggingface/distil-whisper
Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.
This project offers a faster and more efficient way to turn spoken English audio into written text. You provide an English audio file, and it quickly delivers an accurate transcript. This is ideal for anyone who needs to process large amounts of audio data into text, such as researchers transcribing interviews, content creators subtitling videos, or businesses converting calls to text.
4,056 stars. No commits in the last 6 months.
Use this if you need to transcribe English audio quickly and efficiently, especially for long recordings, without sacrificing significant accuracy.
Not ideal if you need to transcribe audio in multiple languages other than English or if your application has extremely strict real-time accuracy requirements.
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4,056
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349
Language
Python
License
MIT
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Last pushed
Jan 08, 2025
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