pyannote-audio VS inaSpeechSegmenter

pyannote/pyannote-audio

Open Source. I've found this to be pretty nice, which is just a wrapper on some hugging face models https://github.com/pyannote/pyannote-audio

(not the creator, but I've built something similar for personal use)

This is a great library for determining which speaker is speaking during each time in an audio file (this is called speaker diarization); I imagine they used it or something like it. Works really well out of the box!

https://github.com/pyannote/pyannote-audio

Do you think pyannote could be implemented in the Pro version of the app to support diarization?

Free startup idea: Use Whisper with pyannote-audio[0]’s speaker diarization. Upload a recording, get back a multi-speaker annotated transcription.

Make a JSON API and I’ll be your first customer.

[0] https://github.com/pyannote/pyannote-audio

Whisper can’t, but pyannote-audio can. I’ve seen a couple of prototypes out there which link the two together.

You can use pyannote python library. It will identify different speakers from audio and will create small audio files with those speakers.

This Colab notebook is basically a standard template (with small changes) provided by pyannote-audio, the library implementing the speaker diarization functionality we need. (template)

I have a little hobby project where I record an FM radio music station using a SDR and then remove all the non-music portions for offline listening. I like the music selections the DJs pick, but I prefer not to listen to the DJ commentary and the advertisements.

I evaluated three methods of recording: analog capture from a standalone FM receiver, using this nrsc5 library to record the "HD" radio stream, and using an AirSpy SDR with this library: https://github.com/jj1bdx/airspy-fmradion

Recording the "HD" (what a misnomer) radio was nice in that there was no hiss or multipath effects, but in comparison to the other methods the digital compression artifacts became impossible to un-hear. It seems to top out at about 96 kbps

The airspy-fmradion library has some nice stuff in it to address multipath, resulting in the best audio quality of the three methods I tested.

I use https://github.com/ina-foss/inaSpeechSegmenter to identify which segments of the recordings are speech vs. music.

One key library that makes it possible is this one: https://github.com/ina-foss/inaSpeechSegmenter

After looking for a few options, I came across inaSpeechSegmenter. It is a speech segmenter and if you pass it an audio file, it returns the time segments of noises and music.