Comment by corysama
7 hours ago
I know a guy who made a Shazam-like phone app that can listen to a few seconds of noisy audio and make a fingerprint that can be used to quickly ID those specific few seconds out of a pre-fingerprinted archive of an enormous amount of audio (zillions of hours of TV). Making the fingerprint requires a tiny amount of very smart code (in C with no dependencies). But, the fingerprint is not useful for understanding audio that's not in the archive.
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