News for hackers. Stuff that matters.

A comment on Show HN: Shazam-like acoustic fingerprinting of continuous audio streams. Parent comment

Re:Show HN: Shazam-like acoustic fingerprinting of continuou... by makesthingspos on Wednesday November 29, 2017 @10:09PM (#15813149)
Have you thought about doing adblock for podcasts? One couldn't adblock unique reads of ads, but many podcasters read an advertisement once and then include that read in multiple podcast episodes. And there are tons of ads that aren't read by the podcaster and include in multiple episodes.

I figure any block of audio longer than a few seconds that appears in more than one podcast episode could be snipped.

I think it would have to be desktop software since if it were a service and edited the podcast files then it would be copyright infringement. I guess it could be a podcast player and not actually distribute the edited files but just the timestamps to skip ads.

Personally I'd like software I can run over a directory of mp3s that would remove duplicate sections. Any thoughts on feasibility? I'm surprised it hasn't been done yet.

[ Parent | on HN ]
Re:Show HN: Shazam-like acoustic fingerprinting of continuou... by hakanito on Thursday November 30, 2017 @02:44AM (#15814083)
Neat but static ads are slowly becoming a thing of the past... Companies like Acast and Midroll are building dynamic ad solutions that inject dynamic ads into podcasts at the time of stream/download
[ Parent | on HN ]
Re:Show HN: Shazam-like acoustic fingerprinting of continuou... by fredley on Thursday November 30, 2017 @05:16AM (#15814699)
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.
[ Parent | on HN ]
Re:Show HN: Shazam-like acoustic fingerprinting of continuou... by justinjlynn on Thursday November 30, 2017 @07:07AM (#15815102)
Speaker 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/ looks like the first of a number of good starting points.

[ Parent | on HN ]
Re:Show HN: Shazam-like acoustic fingerprinting of continuou... by dest on Thursday November 30, 2017 @07:49AM (#15815309)
I will publish more on that topic
[ Parent | on HN ]
Re:Show HN: Shazam-like acoustic fingerprinting of continuou... by justinjlynn on Thursday November 30, 2017 @07:04PM (#15820816)
sounds great! looking forward to it.
[ Parent | on HN ]