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MusicBrainz

From Wikipedia, the free encyclopedia
Online music metadata database

MusicBrainz
MusicBrainz logo since February 2016
MusicBrainz homepage.
Homepage
Type of businessCommunity-drivendata library
Type of site
Online music encyclopedia[1]
Available inEnglish
Headquarters,
U.S.
OwnerMetaBrainz Foundation
FounderRobert Kaye
IndustryAudio metadata
URLmusicbrainz.orgEdit this at Wikidata
IPv6 supportYes
CommercialNo (non-profit)
RegistrationOptional (required for editing data)
Users1,200,200+[2]
LaunchedJuly 17, 2000; 25 years ago (2000-07-17)[3]
Current statusOnline
Content license
Written inPerl withPostgreSQL database

MusicBrainz is a project by the MetaBrainz Foundation that aims to create a collaborative music database that is similar to thefreedb project. MusicBrainz was founded due to the restrictions placed on theCompact Disc Database (CDDB), a database for software applications to look up audioCD information on the Internet. MusicBrainz has expanded its goals beyond serving as a CDmetadata repository, evolving into a structured online database for music information, including details about artists, performers, and songwriters.[4][5]

MusicBrainz captures information about artists, their recorded works, and the relationships between them. Recorded works entries capture the album title, track titles, and the length of each track at a minimum. These entries are maintained by volunteer editors who follow community written style guidelines. Recorded works can also store information about release date and country, the CD ID,cover art,acoustic fingerprint, free-form annotation text and other metadata. As of May 2025[update], MusicBrainz contains information on over 2.6 million artists, 4.7 million releases, and 35.2 million recordings.[2] End-users can use software that communicates with MusicBrainz to addmetadata tags to their digital media files, such asALAC,FLAC,MP3,Ogg Vorbis orAAC.

Image archives

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Cover Art Archive

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Logo of 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 betweenInternet 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 anAPI 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 atAmazon and some other online resources, but CAA is now preferred, because it gives the community more control and flexibility for managing the images. As of May 2025[update], over six million images are stored in the archive.[8]

Event Art Archive

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In June 2024, MusicBrainz launched the Event Art Archive, another joint venture with the Internet Archive.[9] The project is labeled as "the internet's greatest repository for event art", and as of May 2025[update], contains over 8,000 images.[8]

Fingerprinting

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In addition to collecting metadata about music, MusicBrainz also allows users to match recordings by their acoustic fingerprint. A separate application, such as MusicBrainz Picard, is used to do this.

Proprietary services

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In 2000, MusicBrainz started usingRelatable's patented TRM (arecursive acronym for TRM Recognizes Music) for acoustic fingerprint matching. The popularity of this feature drew in a large user base to the platform, enabling the database to expand rapidly. By 2005, TRM was experiencing difficulties in handling the sheer volume of data, as the number of tracks stored in the database had surpassed one million. This issue was resolved in May 2006, when MusicBrainz partnered with MusicIP (nowAmpliFIND), replacing TRM with MusicDNS.[10] TRMs were phased out and replaced by MusicDNS in November 2008.

In October 2009, MusicIP was acquired byAmpliFIND.[11]

AcoustID and Chromaprint

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Since the future of the free identification service was uncertain, a replacement for it was sought. The Chromaprint acoustic fingerprinting algorithm, which serves as the basis for theAcoustID identification service, was started in February 2010 by long-time MusicBrainz contributor, Lukáš Lalinský.[12] While AcoustID and Chromaprint are not officially MusicBrainz projects, they are closely tied with each other and are both open source. Chromaprint works by analyzing the first two minutes of a track, detecting the strength for each of 12pitch classes, storing these eight times per second. Additional post-processing is then applied to compress the fingerprint while retaining patterns.[13] 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

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Since 2003, MusicBrainz's core data (artists, recordings, releases, ect) is dedicated to the worldwidepublic domain, according to the terms of theCreative Commons Zero 1.0 Universal legal tool.[14] Additional content, including moderation data (essentially alloriginal content contributed by users and its elaborations) and the live data feed, are published under thecopyleft terms of theCreative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License as of December 12, 2012[update].[14] Therelational database management system isPostgreSQL. The server software is covered by theGNU General Public License v2.0,[14] while the MusicBrainz clientsoftware library,libmusicbrainz, is licensed under theGNU Lesser General Public License, version 2.1,[15] which allows use of the code by proprietary software products.

In December 2004, the MusicBrainz project was turned over to the MetaBrainz Foundation – anon-profit group based inSan Luis Obispo, California – by its creator Robert Kaye.[16] On January 20, 2006, the first commercial venture to use MusicBrainz data was theBarcelona, Spain-basedLinkara in their "Linkara Música" service.[17]

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

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

MusicBrainz Picard

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Screenshot of MusicBrainz Picard

MusicBrainz Picard is afree and open-source softwareapplication for identifying,tagging and organizingdigital audio recordings.[21]

Picard identifiesaudio files andcompact discs by comparing either theirmetadata or theiracoustic fingerprints with records in the database.[21] Audio file metadata (or "tags") are a means of 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, therecord label, and the date of release.[22]

ListenBrainz

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ListenBrainz logo

ListenBrainz is a free and open source project that aims tocrowdsource listening data related to digital music and release it under anopen license.[23] It is a MetaBrainz Foundation project tied to MusicBrainz. It aims to re-implementLast.fm features that were lost following that platform's acquisition by CBS.[24][25]

ListenBrainz takes submissions in the form of "listens" representing the playback of songs or videos from various media players and services such asClementine/Strawberry,Music Player Daemon andSpotify or otherscrobbling mechanisms such asbrowser extensions. ListenBrainz can also import Last.fm andLibre.fm scrobbles in order to build listening history. As listens are released under an open license, ListenBrainz is useful for music research in industry and development research.[26][27][28][29]

See also

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References

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  1. ^"About".MusicBrainz. MetaBrainz.Archived from the original on October 16, 2016. RetrievedMay 4, 2015.
  2. ^ab"Database Statistics". MusicBrainz. July 10, 2025.Archived from the original on July 5, 2025. RetrievedJuly 9, 2025.
  3. ^"RDAP Record: musicbrainz.org"(JSON).Public Interest Registry. July 10, 2025.Archived from the original on July 10, 2025. RetrievedJuly 9, 2025.
  4. ^Highfield, Ashley (June 27, 2007).Keynote speech given at IEA Future Of Broadcasting Conference (Speech).BBC Press Office.Archived from the original on November 20, 2021. RetrievedFebruary 11, 2008.
  5. ^Swartz, A. (2002)."MusicBrainz: A semantic Web service"(PDF).IEEE Intelligent Systems.17:76–77.CiteSeerX 10.1.1.380.9338.doi:10.1109/5254.988466.Archived(PDF) from the original on July 24, 2024. RetrievedJuly 9, 2025.
  6. ^Scherschel, Fabian (October 10, 2012)."MusicBrainz and Internet Archive create cover art database".The H. Archived fromthe original on April 21, 2024. RetrievedJuly 9, 2025.
  7. ^Tamargo, Nicolás (May 16, 2022)."MusicBrainz schema change release, 2022-05-16 (with upgrade instructions)".MetaBrainz Blog.Archived from the original on May 17, 2022. RetrievedAugust 4, 2022.
  8. ^ab"Database statistics – Images". MusicBrainz. July 10, 2025.Archived from the original on May 27, 2025. RetrievedJuly 9, 2025.
  9. ^Hartman, Simon (June 30, 2024)."Announcing the Event Art Archive".MetaBrainz Blog.Archived from the original on June 30, 2024. RetrievedNovember 19, 2024.
  10. ^Kaye, Robert (March 12, 2006)."New fingerprinting technology available now!".MetaBrainz Blog.Archived from the original on July 28, 2019. RetrievedJuly 9, 2025.
  11. ^Smotroff, Mark (October 5, 2009)."AmpliFIND Music Services Aims To Liberate Your Music".AmpliFIND (Press release). Archived from the original on September 21, 2013. RetrievedJuly 9, 2025.
  12. ^Lalinský, Lukáš (July 24, 2010)."Introducing Chromaprint".oxygene.sk.Archived from the original on December 6, 2014. RetrievedApril 10, 2018.
  13. ^Jang, Dalwon; Yoo, Chang D.; Lee, Sunil; Kim, Sungwoong; Kalker, Ton (November 17, 2009). "Pairwise Boosted Audio Fingerprint".IEEE Transactions on Information Forensics and Security.4 (4).Institute of Electrical and Electronics Engineers:995–1004.doi:10.1109/TIFS.2009.2034452.S2CID 1502596.
  14. ^abcKaye, Robert (December 12, 2012)."About / Data License".MusicBrainz Wiki.Archived from the original on June 13, 2021. RetrievedJuly 8, 2025.
  15. ^Mello, Peter J. (July 9, 2025)."libmusicbrainz".MusicBrainz Wiki.Archived from the original on July 9, 2025. RetrievedJuly 9, 2025.
  16. ^Kaye, Robert (April 18, 2005)."The MetaBrainz Foundation launches!".MetaBrainz Blog.Archived from the original on July 28, 2019. RetrievedJuly 9, 2025.
  17. ^Kaye, Robert (January 20, 2006)."Introducing: Linkara Musica".MetaBrainz Blog.Archived from the original on July 28, 2019. RetrievedJuly 9, 2025.
  18. ^Kaye, Robert (June 28, 2007)."The BBC partners with MusicBrainz for Music Metadata".MetaBrainz Blog.Archived from the original on October 19, 2019. RetrievedJuly 9, 2025.
  19. ^Shorter, Matthew (July 28, 2008)."BBC Music Artist Pages Beta".BBC Internet Blog.Archived from the original on January 24, 2009. RetrievedFebruary 12, 2009.
  20. ^"MusicBrainz".BBC Music.Archived from the original on July 28, 2019. RetrievedJuly 9, 2025.
  21. ^abZukerman, Erez (July 30, 2011)."Need to Organize Your Music Library? MusicBrainz Picard Makes It So".PC World.IDG Communications.Archived from the original on October 28, 2021. RetrievedSeptember 14, 2015.
  22. ^Lightner, Rob (June 11, 2012)."Tag your music files correctly with MusicBrainz Picard".CNET.CBS Interactive.Archived from the original on January 20, 2025. RetrievedSeptember 14, 2015.
  23. ^"ListenBrainz".ListenBrainz.Archived from the original on May 29, 2022. RetrievedFebruary 13, 2021.
  24. ^O'Brien, Danny (June 3, 2021)."Organizing in the Public Interest: MusicBrainz".Electronic Frontier Foundation.Archived from the original on June 3, 2021. RetrievedDecember 9, 2023.
  25. ^Vigliensoni, Gabriel; Fujinaga, Ichiro (October 23, 2017)."The Music Listening Histories Dataset"(PDF).Proceedings of the 18th International Society for Music Information Retrieval Conference.Suzhou, China:ISMIR:96–102.doi:10.5281/zenodo.1417499.Archived(PDF) from the original on February 17, 2024. RetrievedFebruary 17, 2024 – via Zenodo.
  26. ^Singh, Param; Kamlesh, Dutta; Kaye, Robert; Garg, Suyash (2020)."Music Listening History Dataset Curation and Distributed Music Recommendation Engines Using 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 978-3-030-30576-5.S2CID 204103568.Archived from the original on March 27, 2020. RetrievedFebruary 13, 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 978-1-4503-8978-5.S2CID 231628582. RetrievedFebruary 13, 2021.
  28. ^Schedl, Markus; Knees, Peter; McFee, Brian; Bogdanov, Dmitry (November 22, 2021)."Music Recommendation Systems: Techniques, Use Cases, and Challenges".Recommender Systems Handbook. pp. 927–971.doi:10.1007/978-1-0716-2197-4_24.ISBN 978-1-0716-2196-7. RetrievedDecember 9, 2023.
  29. ^Pocaro, Lorenzo; Gómez, Emilia; Castillo, Carlos (July 12, 2023)."Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study"(PDF).ACM Transactions on Recommender Systems.2:1–47.arXiv:2212.00592.doi:10.1145/3608487.S2CID 254125611.Archived(PDF) from the original on January 14, 2024. RetrievedFebruary 17, 2024.

Further reading

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External links

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