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whisper-diarization
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whisper-diarization

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

by MahmoudAshraf97 · GitHub
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asrspeaker-diarizationspeechBSD-2-ClauseJupyter Notebook
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In plain words

Transcribe audio and identify different speakers in the conversation automatically.

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5.60k5.59k
2026-07-042026-08-31
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📄 About

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

whisper-diarization has 5.6k stars on GitHub. It has been forked 503 times. whisper-diarization is written mainly in Jupyter Notebook. It has been in active development since 2023. whisper-diarization is available under the BSD-2-Clause license. Its main topics are asr, speaker-diarization, speech, speech-recognition.

Frequently asked questions

What is whisper-diarization?

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

Is whisper-diarization open source?

whisper-diarization is an open-source project. It is released under the BSD-2-Clause license.

Is whisper-diarization free?

Yes. whisper-diarization is free and open source — you can use, modify and self-host it.

What license does whisper-diarization use?

whisper-diarization is available under the BSD-2-Clause license.

What language is whisper-diarization written in?

whisper-diarization is written mainly in Jupyter Notebook.

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