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Sounds like that's potentially solvable by breaking the podcast down into chunks by speaking voice, then flagging any sections of ~30s with a different speaking
by fredley 9y ago
Sounds like that's potentially solvable by breaking the podcast down into chunks by speaking voice, then flagging any sections of ~30s with a different speaking voice from the rest. Detecting guest speakers shouldn't get caught by this as there'd be more conversation rather than a mostly unbroken 30s chunk.
- justinjlynn 9y agoSpeaker recognition would be really awesome. Do you know of any techniques more general than fingerprinting specific audio sections? Edit: https://github.com/ppwwyyxx/speaker-recognition/ https://github.com/ppwwyyxx/speaker-recognition/ looks like the first of a number of good starting points.
- dest 9y agoI will publish more on that topic
- justinjlynn 9y agosounds great! looking forward to it.