Mp25: Audio Fingerprinting and metadata correction with Python
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This document discusses using Python for audio fingerprinting and metadata correction of music files. It describes using multiple music metadata sources like MusicBrainz, Amazon, and Last.fm to get consistent metadata and identify tracks via fingerprinting when metadata is missing. The key steps are fingerprinting audio to identify tracks, using metadata from sources to fill in artist, album, genre and image tags, and writing this standardized metadata to music files. The goal is to make it easy for people to consistently name and tag their music collections.
Mp25: Audio Fingerprinting and metadata correction with Python
- 1. Audio fingerprinting and metadata correction with Python Alastair Porter November 21, 2011
- 2. Me Background in Computer Science Masters McGill Music Tech Online http://github.com/alastair (20/28 music; 11 in python) http://twitter.com/alastairporter
- 3. Python as a go-to language Quick for prototyping Use the same code in a production release Very handy for API access (thin wrapper around urllib2)
- 5. Music and Metadata The problem: People are really bad at naming music Inconsistent over releases The solution: Crowdsourcing Get info from as many trusted sources as possible Make renaming take no effort
- 6. MusicBrainz
- 7. Amazon
- 9. Last.fm
- 11. MusicBrainz
- 13. MP3, FLAC, Ogg, CDs
- 14. Identification strategy If there’s a CD TOC, use that (musicbrainz lookup) If no match, use audio fingerprinting If no match, do a text lookup (artist/album)
- 15. Fingerprinting Converts an audio signal to a short sequence of numbers Smaller to compare than an entire file Perceptual features rather than byte comparison (works with different encodings)
- 16. Identification strategy Fingerprinting gives us a set of candidate tracks A track could be on many albums (original release, best of, mix album) Keep a list of what tracks we have for each album Once we fill all the slots for an album, success!
- 17. Metadata strategy Text information from Musicbrainz Genre from last.fm Image from Amazon (or folder.jpg) Musicbrainz tells us where these are (don’t need to search) Save in every file (Text is cheap)
- 18. Writing it all out Custom MP3/ID3 writer Ogg meta tags FLAC meta tags Name files Artist/Artist - Year - Album/01 - Artist - Track Replaygain! Be a good citizen: Submit fingerprints to musicbrainz
- 19. What’s next New version of musicbrainz New fingerprinter More metadata More metadata
- 20. Thanks More information: MusicBrainz: http://musicbrainz.org albumidentify: http://github.com/albumidentify/albumidentify More fingerprinting: http://acoustid.org, http://echoprint.me Last.fm