subaligner VS inaSpeechSegmenter

Now you can customize and train a new synchronizer using your own subtitles and audiovisual content: https://github.com/baxtree/subaligner

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.