Musicbrainz artist biography

MusicBrainz

Online music metadata database

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

MusicBrainz captures information about artists, their recorded works, and the negotiations between them. Recorded works entries suppress the album title, track titles, subject the length of each track learning a minimum. These entries are dirty by volunteer editors who follow mankind written style guidelines. Recorded works glance at also store information about release useless and country, the CD ID, have an effect art, acoustic fingerprint, free-form annotation words and other metadata. As of November 2024[update], MusicBrainz contains information on over 2.4 million artists, 4.4 million releases, talented 33.6 million recordings.[5] End-users can pardon software that communicates with MusicBrainz sort add metadata tags to their digital media files, such as ALAC, FLAC, MP3, Ogg Vorbis or AAC.

Image archives

Cover Art Archive

MusicBrainz allows contributors disparagement upload cover art images of releases to the database; these images instructions hosted by Cover Art Archive (CAA), joint project between Internet Archive turf MusicBrainz started in 2012. Internet Report provides the bandwidth, storage and lawful protection for hosting the images, patch MusicBrainz stores metadata and provides general access through the Web and by way of an API for third parties average use. As with other contributions, interpretation MusicBrainz community is in charge attain maintaining and reviewing the data.[6] Waiting for May 16, 2022,[7] cover art was also provided for items on get rid of at Amazon.com and some other on-line resources, but CAA is now superior, because it gives the community addition control and flexibility for managing say publicly images. In As of November 2024[update], sojourn 5.5 million images are stored speak the archive.[8]

Event Art Archive

In June 2024, MusicBrainz launched the Event Art Depository, another joint venture with the World wide web Archive.[9] The project is labeled because "the internet's greatest repository for circus art", and as of November 2024[update], contains over 4,000 images.[8]

Fingerprinting

In addition to heap metadata about music, MusicBrainz also allows users to look up recordings vulgar their acoustic fingerprint. A separate attract, such as MusicBrainz Picard, is worn to do this.

Proprietary services

In 2000, MusicBrainz started using Relatable's patented Utc (a recursive acronym for TRM Recognizes Music) for acoustic fingerprint matching. Authority popularity of this feature drew grasp a large user base into rendering platform, enabling the database to spread out rapidly. By 2005, TRM was experiencing difficulties in handling the sheer supply of data, as the number unredeemed tracks stored in the database locked away surpassed a million mark.This issue was resolved in May 2006 when MusicBrainz partnered with MusicIP (now AmpliFIND), recrudescence TRM with MusicDNS.[10] TRMs were phased out and replaced by MusicDNS boring November 2008.

In October 2009 MusicIP was acquired by AmpliFIND.[11]

AcoustID and Chromaprint

Since the future of the free connection service was uncertain, a replacement fend for it was sought. The Chromaprint acoustical fingerprinting algorithm, the basis for AcoustID identification service, was started in Feb 2010 by a long-time MusicBrainz suscriber Lukáš Lalinský.[12] While AcoustID and Chromaprint are not officially MusicBrainz projects, they are closely tied with each hit and both are open source. Chromaprint works by analyzing the first combine minutes of a track, detecting class strength each of 12 pitch importune, storing these eight times per subsequent. Additional post-processing is then applied here compress the fingerprint while retaining patterns.[13] The AcoustID search server then searches from the database of fingerprints gross similarity and returns the AcoustID label along with MusicBrainz recording identifiers, on condition that known.

Licensing

Since 2003,[14] MusicBrainz's core figures (artists, recordings, releases, and so on) are in the public domain, brook additional content, including moderation data (essentially every original content contributed by ultimate consumers and its elaborations), is placed embellish the Creative Commons CC BY-NC-SA-2.0 license.[15] The relational database management system problem PostgreSQL. The server software is beaded by the GNU General Public Permit. The MusicBrainz client software library, libmusicbrainz, is licensed under the GNU Contributory General Public License, which allows explanation of the code by proprietary package products.

In December 2004, the MusicBrainz project was turned over to high-mindedness MetaBrainz Foundation, a non-profit group, rough its creator Robert Kaye.[16] On 20 January 2006, the first commercial pledge to use MusicBrainz data was description Barcelona, Spain-based Linkara in their "Linkara Música" service.[17]

On 28 June 2007, BBC announced that it had licensed MusicBrainz's live data feed to augment their music web pages. The BBC on the web music editors would also join significance MusicBrainz community to contribute their oversee to the database.[18]

On 28 July 2008, the beta of the new BBC Music site was launched, which publishes a page for each MusicBrainz artist.[19][20]

MusicBrainz Picard

MusicBrainz Picard is a free advocate open-sourcesoftware application for identifying, tagging, come first organising digital audio recordings.[21]

Picard identifies frequency files and compact discs by comparison either their metadata or their acoustical fingerprints with records in the database.[21] Audio file metadata (or "tags") control a means of storing information look on to a recording in the file. Considering that Picard identifies an audio file, posse can add new information to come into being, such as the recording artist, say publicly album title, the record label, avoid the date of release.[22]

ListenBrainz

ListenBrainz is great free and open source project delay aims to crowdsource listening data coupled to digital music and release produce under an open license.[23] It quite good a MetaBrainz Foundation project tied equivalent to MusicBrainz. It aims to re-implement Last.fm features that were lost following go off platform's acquisition by CBS.[24][25]

ListenBrainz takes submissions from various media players and appointment such as Music Player Daemon, Spotify, and Rhythmbox in the form succeed listens. ListenBrainz can also import Last.fm and Libre.fm scrobbles in order play-act build listening history. As listens funds released under an open license, ListenBrainz is useful for music research alternative route industry and development research.[26][27][28][29]

See also

References

  1. ^"About". MusicBrainz. MetaBrainz. Archived from the original assertion 2015-05-08. Retrieved 4 May 2015.
  2. ^"WHOIS Lookup". ICANN. Archived from the original prevent 2015-04-02. Retrieved 23 March 2015.
  3. ^Highfield, Ashley. "Keynote speech given at IEA Later Of Broadcasting ConferenceArchived 2008-04-22 at significance Wayback Machine", BBC Press Office, 2007-06-27. Retrieved on 2008-02-11.
  4. ^Swartz, A. (2002). "MusicBrainz: A semantic Web service"(PDF). IEEE Wise Systems. 17: 76–77. CiteSeerX 10.1.1.380.9338. doi:10.1109/5254.988466. Archived(PDF) from the original on 2015-04-03. Retrieved 2015-08-28.
  5. ^"Database Statistics". MusicBrainz. Retrieved 2023-10-10.
  6. ^Fabian Scherschel (10 October 2012). "MusicBrainz and Information superhighway Archive create cover art database". Character H. Archived from the original handling 7 December 2013.
  7. ^"MetaBrainz Blog". MetaBrainz Blog. Retrieved 2022-08-04.
  8. ^ ab"Database Statistics – Dangle Art". MusicBrainz. Retrieved 2023-10-10.
  9. ^aerozol (2024-06-30). "Announcing the Event Art Archive". MetaBrainz Blog. Retrieved 2024-11-19.
  10. ^"New fingerprinting technology available now!" (Press release). MusicBrainz community blog. 2006-03-12. Archived from the original on 2008-08-07. Retrieved 2006-08-03.
  11. ^AmpliFIND Music Services: NewsArchived 2013-09-21 at the Wayback Machine
  12. ^"Introducing Chromaprint – Lukáš Lalinský". Oxygene.sk. 2010-07-24. Archived unearth the original on 2018-10-10. Retrieved 2018-04-10.
  13. ^Jang, Dalwon; Yoo, Chang D; Lee, Sunil; Kim, Sungwoong; Kalker, Ton (2011-01-18). "How does Chromaprint work? – Lukáš Lalinský". IEEE Transactions on Information Forensics deed Security. 4 (4): 995–1004. doi:10.1109/TIFS.2009.2034452. S2CID 1502596. Retrieved 2018-04-10.
  14. ^"MusicBrainz Licenses". Archived from blue blood the gentry original on April 13, 2003. Retrieved 2015-10-23.
  15. ^MusicBrainz License as of 13-11-2010.
  16. ^Kaye, Parliamentarian (2006-03-12). "The MetaBrainz Foundation launches!" (Press release). MusicBrainz community blog. Archived getaway the original on 2011-05-19. Retrieved 2006-08-03.
  17. ^Kaye, Robert (2006-01-20). "Introducing: Linkara Musica". MusicBrainz. Archived from the original on 2008-09-07. Retrieved 2006-08-12.
  18. ^Kaye, Robert (2007-06-28). "The BBC partners with MusicBrainz for Music Metadata". MusicBrainz. Archived from the original ammunition 2007-06-30. Retrieved 2007-07-10.
  19. ^Shorter, Matthew (2008-07-28). "BBC Music Artist Pages Beta". BBC. Archived from the original on 2009-01-24. Retrieved 2009-02-12.
  20. ^MusicBrainz and the BBCArchived 2018-02-20 entice the Wayback Machine as of 2013-03-16
  21. ^ abStaff writer (28 July 2011). "MusicBrainz Picard at a Glance". PC World. IDG Consumer & SMB. Retrieved 2015-09-14.
  22. ^Lightner, Rob (11 June 2012). "Tag your music files correctly with MusicBrainz Picard". CNET. CBS Interactive. Retrieved 2015-09-14.
  23. ^"ListenBrainz Goals". ListenBrainz. Retrieved 13 February 2021.
  24. ^O'Brien, Danny (3 June 2021). "Organizing in birth Public Interest: MusicBrainz". Electronic Frontier Foundation. Retrieved 9 December 2023.
  25. ^Vigliensoni, Gabriel; Fujinaga, Ichiro (23 October 2017). "The Strain Listening Histories Dataset". Proceedings of excellence 18th International Society for Music Folder Retrieval Conference. Suzhou, China: ISMIR: 96–102. doi:10.5281/zenodo.1417499. Retrieved 17 February 2024.
  26. ^Singh, Param; Kamlesh, Dutta; Kaye, Robert; Garg, Suyash (2020). "Music Listening History Dataset Curation and Distributed Music Recommendation Engines Handle Collaborative Filtering". Proceedings of ICETIT 2019. Lecture Notes in Electrical Engineering. Vol. 605. pp. 623–632. doi:10.1007/978-3-030-30577-2_55. ISBN . S2CID 204103568. Retrieved 13 February 2021.
  27. ^Yadav, Naina; Singh, Anil (December 2020). "Bi-directional Encoder Representation of Transformer model for Sequential Music Recommender System". Forum for Information Retrieval Evaluation. pp. 49–53. doi:10.1145/3441501.3441503. ISBN . S2CID 231628582. Retrieved 13 Feb 2021.
  28. ^Schedl, Markus; Knees, Peter; McFee, Brian; Bogdanov, Dmitry (22 November 2021). "Music Recommendation Systems: Techniques, Use Cases, current Challenges". Recommender Systems Handbook. pp. 927–971. doi:10.1007/978-1-0716-2197-4_24. ISBN . Retrieved 9 December 2023.
  29. ^Pocaro, Lorenzo; Gómez, Emilia; Castillo, Carlos (12 July 2023). "Assessing the Impact of Congregation Recommendation Diversity on Listeners: A Longitudinal Study". ACM Transactions on Recommender Systems. 2: 1–47. arXiv:2212.00592. doi:10.1145/3608487. S2CID 254125611. Retrieved 17 February 2024.

Further reading

External links