MusicBrainz explained

MusicBrainz
Commercial:No
Type:Online music encyclopedia[1]
Registration:Optional (required for editing data)
Language:English
Num Users:Over 2 million registered accounts
Content License:Part Creative Commons Zero (open data) and part CC BY-NC-SA (not open); commercial licensing available
Programming Language:Perl with PostgreSQL database
Owner:MetaBrainz Foundation
Author:Robert Kaye
Launch Date:[2]
Current Status:Online

MusicBrainz is a MetaBrainz project that aims to create a collaborative music database that is similar to the freedb project. MusicBrainz was founded in response to the restrictions placed on the Compact Disc Database (CDDB), a database for software applications to look up audio CD information on the Internet. MusicBrainz has expanded its goals to reach beyond a CD metadata (this is information about the performers, artists, songwriters, etc.) storehouse to become a structured online database for music.[3] [4]

MusicBrainz captures information about artists, their recorded works, and the relationships between them. Recorded works entries capture at a minimum the album title, track titles, and the length of each track. These entries are maintained by volunteer editors who follow community written style guidelines. Recorded works can also store information about the release date and country, the CD ID, cover art, acoustic fingerprint, free-form annotation text and other metadata., MusicBrainz contains information on roughly 2.4 million artists, 4.2 million releases, and 32.8 million recordings.[5] End-users can use software that communicates with MusicBrainz to add metadata tags to their digital media files, such as ALAC, FLAC, MP3, Ogg Vorbis or AAC.

Cover Art Archive

MusicBrainz allows contributors to upload cover art images of releases to the database; these images are hosted by Cover Art Archive (CAA), a joint project between Internet Archive and MusicBrainz started in 2012. Internet Archive provides the bandwidth, storage and legal protection for hosting the images, while MusicBrainz stores metadata and provides public access through the Web and via an API for third parties to use. As with other contributions, the MusicBrainz community is in charge of maintaining and reviewing the data.[6] Until May 16, 2022,[7] cover art was also provided for items on sale at Amazon.com and some other online resources, but CAA is now preferred, because it gives the community more control and flexibility for managing the images., over 5.4 million images exist in the archive.[8]

Fingerprinting

Besides collecting metadata about music, MusicBrainz also allows looking up recordings by their acoustic fingerprint. A separate application, such as MusicBrainz Picard, is used to do this.

Proprietary services

In 2000, MusicBrainz started using Relatable's patented TRM (a recursive acronym for TRM Recognizes Music) for acoustic fingerprint matching. This feature attracted many users and allowed the database to grow quickly. However, by 2005 TRM was showing scalability issues as the number of tracks in the database had reached the millions. This issue was resolved in May 2006 when MusicBrainz partnered with MusicIP (now AmpliFIND), replacing TRM with MusicDNS.[9] TRMs were phased out and replaced by MusicDNS in November 2008.

In October 2009 MusicIP was acquired by AmpliFIND.[10] Sometime after the acquisition, the MusicDNS service began having intermittent problems.

AcoustID and Chromaprint

Since the future of the free identification service was uncertain, a replacement for it was sought. The Chromaprint acoustic fingerprinting algorithm, the basis for AcoustID identification service, was started in February 2010 by a long-time MusicBrainz contributor Lukáš Lalinský.[11] While AcoustID and Chromaprint are not officially MusicBrainz projects, they are closely tied with each other and both are open source. Chromaprint works by analyzing the first two minutes of a track, detecting the strength in each of 12 pitch classes, storing these eight times per second. Additional post-processing is then applied to compress this fingerprint while retaining patterns.[12] The AcoustID search server then searches from the database of fingerprints by similarity and returns the AcoustID identifier along with MusicBrainz recording identifiers, if known.

Licensing

Since 2003,[13] MusicBrainz's core data (artists, recordings, releases, and so on) are in the public domain, and additional content, including moderation data (essentially every original content contributed by users and its elaborations), is placed under the Creative Commons CC BY-NC-SA-2.0 license.[14] The relational database management system is PostgreSQL. The server software is covered by the GNU General Public License.The MusicBrainz client software library, libmusicbrainz, is licensed under the GNU Lesser General Public License, which allows use of the code by proprietary software products.

In December 2004, the MusicBrainz project was turned over to the MetaBrainz Foundation, a non-profit group, by its creator Robert Kaye.[15] On 20 January 2006, the first commercial venture to use MusicBrainz data was the Barcelona, Spain-based Linkara in their "Linkara Música" service.[16]

On 28 June 2007, BBC announced that it had licensed MusicBrainz's live data feed to augment their music web pages. The BBC online music editors would also join the MusicBrainz community to contribute their knowledge to the database.[17]

On 28 July 2008, the beta of the new BBC Music site was launched, which publishes a page for each MusicBrainz artist.[18] [19]

MusicBrainz Picard

MusicBrainz Picard is a free and open-source software application for identifying, tagging, and organising digital audio recordings.[20]

Picard identifies audio files and compact discs by comparing either their metadata or their acoustic fingerprints with records in the database. Audio file metadata (or "tags") are a means for storing information about a recording in the file. When Picard identifies an audio file, it can add new information to it, such as the recording artist, the album title, the record label, and the date of release.[21]

ListenBrainz

ListenBrainz is a free and open source project that aims to crowdsource listening data from digital music and release it under an open license.[22] It is a MetaBrainz Foundation project tied to MusicBrainz. It aims to re-implement Last.fm features that were lost following that platform's acquisition by CBS.[23] [24]

ListenBrainz takes submissions from media players and services such as Music Player Daemon, Spotify, and Rhythmbox in the form of listens. ListenBrainz can also import Last.fm and Libre.fm scrobbles in order to build listening history. As listens are released under an open license, ListenBrainz is useful for music research for industry and development purposes.[25] [26] [27] [28]

See also

Further reading

External links

Notes and References

  1. Web site: About. MusicBrainz. MetaBrainz. 4 May 2015. https://web.archive.org/web/20150508173335/http://musicbrainz.org/doc/About. 2015-05-08. live.
  2. Web site: WHOIS Lookup. ICANN. 23 March 2015. https://web.archive.org/web/20150402135738/http://whois.icann.org/en/lookup?name=musicbrainz.org. 2015-04-02. live.
  3. Highfield, Ashley. "Keynote speech given at IEA Future Of Broadcasting Conference ", BBC Press Office, 2007-06-27. Retrieved on 2008-02-11.
  4. Swartz. A.. Aaron Swartz. 10.1109/5254.988466. MusicBrainz: A semantic Web service. IEEE Intelligent Systems. 17. 76–77. 2002. 2015-08-28. https://web.archive.org/web/20150403083930/http://www.csee.umbc.edu/courses/771/papers/ieeeIntelligentSystems/webservices/musicBrainz.pdf. 2015-04-03. live. 10.1.1.380.9338.
  5. Web site: Database Statistics . 2023-10-10 . MusicBrainz.
  6. News: Fabian Scherschel. MusicBrainz and Internet Archive create cover art database. 10 October 2012. The H. https://web.archive.org/web/20131207234912/http://www.h-online.com/open/news/item/MusicBrainz-and-Internet-Archive-create-cover-art-database-1727322.html. 7 December 2013.
  7. Web site: MetaBrainz Blog . 2022-08-04 . MetaBrainz Blog . en.
  8. Web site: Database Statistics – Cover Art . 2023-10-10 . MusicBrainz.
  9. New fingerprinting technology available now!. 2006-03-12. MusicBrainz community blog. 2006-08-03. https://web.archive.org/web/20080807161630/http://blog.musicbrainz.org/archives/2006/03/new_fingerprint.html. 2008-08-07. live.
  10. http://www.amplifindmusicservices.com/news/press/amplified-music-aims-to-liberate-your-music.php AmpliFIND Music Services: News
  11. Web site: Introducing Chromaprint – Lukáš Lalinský. Oxygene.sk. 2010-07-24. 2018-04-10. https://web.archive.org/web/20181010193315/https://oxygene.sk/2010/07/introducing-chromaprint. 2018-10-10. live.
  12. How does Chromaprint work? – Lukáš Lalinský. IEEE Transactions on Information Forensics and Security. 4. 4. 995–1004. 10.1109/TIFS.2009.2034452. 2011-01-18. 2018-04-10. Jang. Dalwon. Yoo. Chang D. Lee. Sunil. Kim. Sungwoong. Kalker. Ton. 1502596.
  13. Web site: MusicBrainz Licenses. 2015-10-23. live. https://web.archive.org/web/20030413174459/https://musicbrainz.org/news/licenses.html. April 13, 2003 .
  14. https://wiki.musicbrainz.org/MusicBrainz_License?oldid=33484 MusicBrainz License
  15. Robert. Kaye. The MetaBrainz Foundation launches!. 2006-03-12. MusicBrainz community blog. 2006-08-03. https://web.archive.org/web/20110519073229/http://blog.musicbrainz.org/?p=102. 2011-05-19. live .
  16. News: Robert. Kaye. Introducing: Linkara Musica. MusicBrainz. 2006-01-20. 2006-08-12. https://web.archive.org/web/20080907114640/http://blog.musicbrainz.org/archives/2006/01/introducing_lin_1.html. 2008-09-07. live .
  17. News: Robert. Kaye. The BBC partners with MusicBrainz for Music Metadata. MusicBrainz. 2007-06-28. 2007-07-10. https://web.archive.org/web/20070630132119/http://blog.musicbrainz.org/archives/2007/06/the_bbc_partner.html. 2007-06-30. live .
  18. News: Matthew. Shorter. BBC Music Artist Pages Beta. BBC. 2008-07-28. 2009-02-12. https://web.archive.org/web/20090124015619/http://www.bbc.co.uk/blogs/bbcinternet/2008/07/bbc_music_artist_pages_beta.html. 2009-01-24. live .
  19. https://www.bbc.co.uk/music/brainz MusicBrainz and the BBC
  20. Web site: Staff writer . Staff writer . 28 July 2011 . MusicBrainz Picard at a Glance . 2015-09-14 . . IDG Consumer & SMB.
  21. Web site: Lightner . Rob . 11 June 2012 . Tag your music files correctly with MusicBrainz Picard . 2015-09-14 . . CBS Interactive.
  22. Web site: ListenBrainz Goals . ListenBrainz . 13 February 2021.
  23. Web site: O'Brien . Danny . Organizing in the Public Interest: MusicBrainz . Electronic Frontier Foundation . 9 December 2023 . 3 June 2021.
  24. Vigliensoni . Gabriel . Fujinaga . Ichiro . The Music Listening Histories Dataset . Proceedings of the 18th International Society for Music Information Retrieval Conference . 23 October 2017 . 96–102 . 10.5281/zenodo.1417499 . 17 February 2024 . ISMIR . Suzhou, China.
  25. Book: Singh . Param . Kamlesh . Dutta . Kaye . Robert . Garg . Suyash . Proceedings of ICETIT 2019 . Music Listening History Dataset Curation and Distributed Music Recommendation Engines Using Collaborative Filtering . Lecture Notes in Electrical Engineering . https://link.springer.com/chapter/10.1007/978-3-030-30577-2_55 . 2020 . 605 . 623–632 . 10.1007/978-3-030-30577-2_55 . 978-3-030-30576-5 . 204103568 . 13 February 2021.
  26. Book: Yadav . Naina . Singh . Anil . Forum for Information Retrieval Evaluation . Bi-directional Encoder Representation of Transformer model for Sequential Music Recommender System . December 2020 . 49–53 . 10.1145/3441501.3441503 . 9781450389785 . 231628582 . 13 February 2021.
  27. Book: Schedl . Markus . Knees . Peter . McFee . Brian . Bogdanov . Dmitry . Music Recommendation Systems: Techniques, Use Cases, and Challenges . Recommender Systems Handbook . 22 November 2021 . 927–971 . 10.1007/978-1-0716-2197-4_24 . 978-1-0716-2196-7 . https://link.springer.com/chapter/10.1007/978-1-0716-2197-4_24 . 9 December 2023.
  28. Pocaro . Lorenzo . Gómez . Emilia . Castillo . Carlos . Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study . ACM Transactions on Recommender Systems . 12 July 2023 . 2 . 1–47 . 10.1145/3608487 . 17 February 2024. 2212.00592 . 254125611 .