Speaker Diarization
Posted by mtwn1051@reddit | Python | View on Reddit | 5 comments
Hi, I am building a transcript solution with AI Analytics over it.
I need to perform speaker diarization on an call recording file.
I have explored cloud solutions from Azure and Google per they are bad.
I have then tried opensource solutions Pyannote Audio and currently trying Nvidia Nemo.
In my testing so far, Nvidia Nemo is better in terms of accuracy as well as performance.
Can I take this to production? What other options should I try?
Python-ModTeam@reddit
Hi there, from the /r/Python mods.
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thatphotoguy89@reddit
Maybe try this? Works with pyannote as well https://github.com/Vaibhavs10/insanely-fast-whisper
mtwn1051@reddit (OP)
I want solutions for Diarization. For Speech to Text using Gemini LLM, found it much better than OpenAI Whisper and Google's own Cloud Speech to Text
thatphotoguy89@reddit
Looks like this has its own diarization pipeline here: https://github.com/Vaibhavs10/insanely-fast-whisper/blob/main/src/insanely_fast_whisper/utils/diarization_pipeline.py
mtwn1051@reddit (OP)
This uses Pyannote Audio only.