Audio fingerprinting as used by MusicBrainz is a little different concept. Because it doesn't have the need to match short phone-recorded samples, we can use mo

Audio fingerprinting as used by MusicBrainz is a little different concept. Because it doesn't have the need to match short phone-recorded samples, we can use more efficient algorithms for both the fingerprinting and their matching. It's usually not the match rate that goes down when dealing with a large database, but the false match rate that goes up. And of course performance. Those were my two main things to worry about when I was working on AcoustID (the current fingerprinting technology used by MusicBrainz).