3 ms·

It's actually technically not that hard to get something like this working. Monetizing is trickier. I don't see how they will make enough money from it. Didn't

by axod 17y ago

It's actually technically not that hard to get something like this working. Monetizing is trickier. I don't see how they will make enough money from it. Didn't know they were still going after 7 years.

bmelton 17y ago
I haven't tried anything like it, so I can't comment on the difficulty of creating the fingerprinting technology, and frankly, I'm not all that impressed with Shazam. But as I understand it, Pandora uses the same Music Genome data to make its suggestions, and that is REALLY magic.
- jkincaid 17y ago
  I've heard a couple times that Pandora doesn't really rely on the Music Genome any more because it has so much other listener data it can use to determine relevant matches. Haven't actually asked Pandora about it, so take that with a grain of salt.
  - physcab 17y ago
    Yah I believe that. We don't have access to the Music Genome and we can still build a decent rec engine. When you have millions of users you can assemble pretty good features if you log the usage properly.
- jamesjyu 17y ago
  Pandora actually uses a mix of human and algorithm for the Music Genome. They have a whole team of musicians just cataloguing and categorizing music based on various metrics. That's why they're usually very accurate.
DrJokepu 17y ago
Actually I have to completely disagree. Technically this is very hard to get right, monetizing it is a lot easier. It is quite hard, believe me. Definitely not a weekend project. When it's as simple as recognizing clean audio, it's indeed not very hard. The problems start with (a) background noise (b) karaoke and mono audio input as without stereo channels removing the vocals is very hard (c) radio stations and television broadcasters often speed up songs a bit to fit in the timeslot. The monetizing bit is a lot simpler. I can't really talk about that because of NDAs I've signed but as a hint, think about B2B instead of selling it to consumers. What big companies need to track music? How could audio recognition help them?

by axod 17y ago

bmelton 17y ago

I haven't tried anything like it, so I can't comment on the difficulty of creating the fingerprinting technology, and frankly, I'm not all that impressed with Shazam. But as I understand it, Pandora uses the same Music Genome data to make its suggestions, and that is REALLY magic.

jkincaid 17y ago
I've heard a couple times that Pandora doesn't really rely on the Music Genome any more because it has so much other listener data it can use to determine relevant matches. Haven't actually asked Pandora about it, so take that with a grain of salt.
- physcab 17y ago
  Yah I believe that. We don't have access to the Music Genome and we can still build a decent rec engine. When you have millions of users you can assemble pretty good features if you log the usage properly.
jamesjyu 17y ago
Pandora actually uses a mix of human and algorithm for the Music Genome. They have a whole team of musicians just cataloguing and categorizing music based on various metrics. That's why they're usually very accurate.

DrJokepu 17y ago

Actually I have to completely disagree. Technically this is very hard to get right, monetizing it is a lot easier. It is quite hard, believe me. Definitely not a weekend project. When it's as simple as recognizing clean audio, it's indeed not very hard. The problems start with (a) background noise (b) karaoke and mono audio input as without stereo channels removing the vocals is very hard (c) radio stations and television broadcasters often speed up songs a bit to fit in the timeslot. The monetizing bit is a lot simpler. I can't really talk about that because of NDAs I've signed but as a hint, think about B2B instead of selling it to consumers. What big companies need to track music? How could audio recognition help them?