I had found one that used Whisper to convert the podcast to text and then ran it through an AI to find the ad text, but I couldn’t get it to work. I had considered building something myself and was about halfway through that when I found this method. It does the job better than I think an AI would considering it’s crowdsourced for the ad identification.
Comment on How I use Pinchflat to avoid podcast ads
Tanoh@lemmy.world 10 months agoIt should be doable to so some audio analysis of the episodes. They “always” (I am sure some forget every now and then), have an outro and intro around the ad block. With a clearly defined jingle per podcast. You should be able to make a program that analyses the audio and listens for that block and cuts it out for you.
ikidd@lemmy.world 10 months ago
Legume5534@lemm.ee 10 months ago
This is exactly the route I’ve been begging for for years now. It seriously should be doable.
A_norny_mousse@feddit.org 10 months ago
Yep. Certain patterns are easily recognizable even by machines. One could have a relatively simple “IHeartRadio algorithm” that should work 99% of the time (esp. with Ed Zitron who brackets the blocks with that insane guitar riff).
Hell, I could even write that with ffmpeg and a shell script.
OK I’m being arrogant now, but not wrong.