Whisper-transcription_and_diarization-speaker-identification-
How to use OpenAIs Whisper to transcribe and diarize audio files
Transcribe and identify speakers in audio files using OpenAI's Whisper speech recognition system.
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Whisper-transcription_and_diarization-speaker-identification- has 376 stars on GitHub. It has been forked 48 times. Whisper-transcription_and_diarization-speaker-identification- is written mainly in Jupyter Notebook. It has been in active development since 2022. Its main topics are openai, python, whisper.
What is Whisper-transcription_and_diarization-speaker-identification-?
How to use OpenAIs Whisper to transcribe and diarize audio files
Is Whisper-transcription_and_diarization-speaker-identification- open source?
Whisper-transcription_and_diarization-speaker-identification- is an open-source project.
Is Whisper-transcription_and_diarization-speaker-identification- free?
Yes. Whisper-transcription_and_diarization-speaker-identification- is free and open source — you can use, modify and self-host it.
What language is Whisper-transcription_and_diarization-speaker-identification- written in?
Whisper-transcription_and_diarization-speaker-identification- is written mainly in Jupyter Notebook.
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