Shazam Audio Fingerprinting Alternatives
The cluster focuses on open-source alternatives to Shazam for music identification using audio fingerprinting techniques, with discussions of tools like AcoustID, MusicBrainz, Beets, and explanations of how such systems work via perceptual hashing and spectrogram analysis.
Activity Over Time
Top Contributors
Keywords
Sample Comments
Search for alternatives to Shazam (proprietary)
I'll also plug AcoustID from MusicBrainzhttps://musicbrainz.org/doc/AcoustID
Is it identifying song names by file metadata, binary fingerprints, audio fingerprints?
does song data on your db or you're requesting to musicbrainz instantly?
I once tried to identify a piece of instrumental music and tried AudioTag, but it couldn't find anything. It would be useful to have a huge global music database with some recognition algorithms for that. Is there anything like that around?
Is this powered by MusicXmatch or is a competitor?
I am thinking about spectrum comparison, like shazam does
I think musicbrainz supports this https://musicbrainz.org/doc/AcoustID
It seems to be using perceptual hashing to match tracks; you'd need to find actual crappy versions of the songs you want.
Related. Others?How Shazam Works (2003 Paper) - https://news.ycombinator.com/item?id=33299853 - Oct 2022 (1 comment)Creating Shazam in Java (2010) - https://news.ycombinator.com/item?id=32530056 - Aug 2022 (36 comments)Shazam turns 20 - <a href="https://news.ycombinator.com/