OTranscribe: A free and open tool for transcribing audio interviews
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Re: OTranscribe: A free and open tool for transcribing audio interviews
#2Re: OTranscribe: A free and open tool for transcribing audio interviews
#3Re: OTranscribe: A free and open tool for transcribing audio interviews
#4Re: OTranscribe: A free and open tool for transcribing audio interviews
#5Worked excellent.
It generates both a file that just contains a line per uninterrupted speaker speech prefixed with the speaker number, as well as a file with timestamps which I believe would be used as subtitles.
Re: OTranscribe: A free and open tool for transcribing audio interviews
#6I needed to do this this week (transcribe an interview with multiple speakers) and used https://github.com/MahmoudAshraf97/whisper-diarization Worked excellent. It generates both a file that just contains a line per uninterrupted speaker speech prefixed with the speaker number, as well as a file with timestamps which I believe would be used as subtitles.
Re: OTranscribe: A free and open tool for transcribing audio interviews
#7I needed to do this this week (transcribe an interview with multiple speakers) and used https://github.com/MahmoudAshraf97/whisper-diarization Worked excellent. It generates both a file that just contains a line per uninterrupted speaker speech prefixed with the speaker number, as well as a file with timestamps which I believe would be used as subtitles.
disclaimer : I am not affiliated in any way, just a happy customer! I had some nice mail exchanges after bug reports with the (I believe solo-)developer behind these tools.
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Re: OTranscribe: A free and open tool for transcribing audio interviews
#8I needed to do this this week (transcribe an interview with multiple speakers) and used https://github.com/MahmoudAshraf97/whisper-diarization Worked excellent. It generates both a file that just contains a line per uninterrupted speaker speech prefixed with the speaker number, as well as a file with timestamps which I believe would be used as subtitles.
You can do this locally if you have enough (V)RAM, but I prefer the OpenAI API, as usually I don't have enough at hand. And the various Llamas aren't really quality on par with GPT-4. If you only need Whisper, and no translation, then local execution is indeed very viable. High quality Whisper fits in 4GB of (V)RAM.