Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
Transcribe audio and identify different speakers in the conversation automatically.
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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.
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
whisper-diarization is an open-source project. It is released under the BSD-2-Clause license.
Yes. whisper-diarization is free and open source — you can use, modify and self-host it.
whisper-diarization is available under the BSD-2-Clause license.
whisper-diarization is written mainly in Jupyter Notebook.
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