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Whelp, that pretty much obsoletes my app http://audentifi.com :(

Time to evolve!

Not really. The app only picks up music from ambient mic input. Your app looks like something I've needed for a while though!

I just found out - it seems like an oversight on their part.

Can you tell us how you are doing this? Do you have an own database with which you compare the music to ?

The actual identification of individual songs is done using the Echonest API (they have a huge database of song hashes).

Before this can be done however, the placement of each song within the audio track as a whole needs to be determined, which is done with a combination of ffmpeg and C. Currently this process is quite slow and inaccurate - I'm trying to learn some ML theory at the moment with the hope of improving it!

I've made my own audio fingerprinting software in Python under the MIT license, check it out!

https://github.com/worldveil/dejavu

Great work and a really interesting read! Really nice performance too - for reference Echonest advises samples be 30s or longer for optimum recognition.

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