MusicBrainz

Last updated
MusicBrainz
MusicBrainz Logo with text (2016).svg
MusicBrainz homepage.png
MusicBrainz homepage
Type of site
Online music encyclopedia [1]
Available inEnglish
Owner MetaBrainz Foundation
Created byRobert Kaye
URL musicbrainz.org OOjs UI icon edit-ltr-progressive.svg
CommercialNo
RegistrationOptional (required for editing data)
Users Over 2 million registered accounts
LaunchedJuly 17, 2000;24 years ago (2000-07-17) [2]
Current statusOnline
Content license
Part Creative Commons Zero (open data) and part CC BY-NC-SA (not open); commercial licensing available
Written in Perl with PostgreSQL database

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]

Contents

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. As of November 2024, MusicBrainz contains information on over 2.4 million artists, 4.4 million releases, and 33.6 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.

Image archives

Cover Art Archive

Logo of Cover Art Archive Cover Art Archive Logo with text (2020).svg
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 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. In As of November 2024, over 5.5 million images exist in the archive. [8]

Event Art Archive

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 November 2024, contains over 4,000 images. [8]

Fingerprinting

Screenshot of MusicBrainz Picard MusicBrainz Picard 2.7 screenshot.png
Screenshot of MusicBrainz Picard

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. The popularity of this feature drew in a large user base, 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 the million mark.This issue was resolved in May 2006 when MusicBrainz partnered with MusicIP (now AmpliFIND), replacing TRM with MusicDNS. [10] TRMs were phased out and replaced by MusicDNS in November 2008.

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

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. [12] 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. [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

Since 2003, [14] 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. [15] 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. [16] On 20 January 2006, the first commercial venture to use MusicBrainz data was the 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 online music editors would also join the MusicBrainz community to contribute their knowledge 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 and open-source software application for identifying, tagging, and organising digital audio recordings. [21]

Picard identifies audio files and compact discs by comparing either their metadata or their acoustic fingerprints with records in the database. [21] 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. [22]

ListenBrainz

Logo of ListenBrainz ListenBrainz Logo (2020).svg
Logo of 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. [23] 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. [24] [25]

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. [26] [27] [28] [29]

See also

Related Research Articles

Freedb was a database of user-submitted compact disc track listings, where all the content was under the GNU General Public License. To look up CD information over the Internet, a client program calculated a hash function from the CD table of contents and used it as a disc ID to query the database. If the disc was in the database, the client was able to retrieve and display the artist, album title, track list and some additional information.

<span class="mw-page-title-main">Free music</span> Music in the public domain or under a free license

Free music or libre music is music that, like free software, can freely be copied, distributed and modified for any purpose. Thus free music is either in the public domain or licensed under a free license by the artist or copyright holder themselves, often as a method of promotion. It does not mean that there should be no fee involved. The word free refers to freedom, not to price.

BitKeeper is a discontinued software tool for distributed revision control of computer source code. Originally developed as proprietary software by BitMover Inc., a privately held company based in Los Gatos, California, it was released as open-source software under the Apache-2.0 license on 9 May 2016. BitKeeper is no longer being developed.

The Extensible Metadata Platform (XMP) is an ISO standard, originally created by Adobe Systems Inc., for the creation, processing and interchange of standardized and custom metadata for digital documents and data sets.

<span class="mw-page-title-main">Banshee (media player)</span> Open source media player

Banshee was a cross-platform open-source media player, called Sonance until 2005. Built upon Mono and Gtk#, it used the GStreamer multimedia platform for encoding, and decoding various media formats, including Ogg Vorbis, MP3 and FLAC. Banshee can play and import audio CDs and supports many portable media players, including Apple's iPod, Android devices and Creative's ZEN players. Other features include Last.fm integration, album artwork fetching, smart playlists and podcast support. Banshee is released under the terms of the MIT License. Stable versions are available for many Linux distributions, as well as a beta preview for OS X and an alpha preview for Windows.

<span class="mw-page-title-main">Tag editor</span> Software for editing the metadata of media files

A tag editor is an app that can add, edit, or remove embedded metadata on multimedia file formats. Content creators, such as musicians, photographers, podcasters, and video producers, may need to properly label and manage their creations, adding such details as title, creator, date of creation, and copyright notice.

AmpliFIND is an acoustic fingerprinting service and a software development kit developed by the US company MusicIP.

<span class="mw-page-title-main">Jaikoz</span> Java tagging program

Jaikoz is a Java program used for editing and mass tagging music file tags.

<span class="mw-page-title-main">Gracenote</span> American metadata company

Gracenote, Inc. is a company and service that provides music, video, and sports metadata and automatic content recognition (ACR) technologies to entertainment services and companies worldwide. Formerly CDDB, Gracenote maintains and licenses an Internet-accessible database containing information about the contents of audio compact discs and vinyl records. From 2008 to 2014, it was owned by Sony, later sold to Tribune Media, and has been owned since 2017 by Nielsen Holdings. In 2019, Nielsen Holdings announced plans to split into two separate publicly traded companies, Nielsen Global Connect and Nielsen Global Media. In October 2022, Nielsen Holdings, including the Gracenote subsidiary was acquired by a private equity consortium.

DBpedia is a project aiming to extract structured content from the information created in the Wikipedia project. This structured information is made available on the World Wide Web using OpenLink Virtuoso. DBpedia allows users to semantically query relationships and properties of Wikipedia resources, including links to other related datasets.

An audio search engine is a web-based search engine which crawls the web for audio content. The information can consist of web pages, images, audio files, or another type of document. Various techniques exist for research on these engines.

<span class="mw-page-title-main">Metadata</span> Data

Metadata is "data that provides information about other data", but not the content of the data itself, such as the text of a message or the image itself. There are many distinct types of metadata, including:

An acoustic fingerprint is a condensed digital summary, a digital fingerprint, deterministically generated from an audio signal, that can be used to identify an audio sample or quickly locate similar items in a music database.

<span class="mw-page-title-main">Puddletag</span> Tag editor for Unix-like operating systems

Puddletag is a graphical audio file metadata editor ("tagger") for Unix-like operating systems.

AcoustID is a webservice for the identification of music recordings based on the Chromaprint acoustic fingerprint algorithm. It can identify entire songs but not short snippets.

<span class="mw-page-title-main">Guayadeque Music Player</span> Free and open source audio player

Guayadeque was a free and open-source audio player with database written in C++ using the WxWidgets toolkit. It uses GStreamer to manage the audio and SQLite for the music metadata database. A Qt rewrite of the program was planned in 2019, but it did not end up happening. On September 29, 2023, it was announced on the Guayadeque forums that development had ceased.

<span class="mw-page-title-main">Kid3</span> Tag editor

Kid3 is an open-source cross-platform audio tag editor for many audio file formats. It supports DSF, MP3, Ogg, FLAC, MPC, MPEG-4 (mp4/m4a/m4b), AAC, Opus, SPX, TrueAudio, APE, WavPack, WMA, WAV, AIFF, tracker modules.

Search by sound is the retrieval of information based on audio input. There are a handful of applications, specifically for mobile devices that utilize search by sound. Shazam, Soundhound, Axwave, ACRCloud and others have seen considerable success by using a simple algorithm to match an acoustic fingerprint to a song in a library. These applications take a sample clip of a song, or a user-generated melody and check a music library/music database to see where the clip matches with the song. From there, song information will be queried and displayed to the user.

Automatic content recognition (ACR) is a technology used to identify content played on a media device or presented within a media file. Devices with ACR can allow for the collection of content consumption information automatically at the screen or speaker level itself, without any user-based input or search efforts. This information may be collected for purposes such as personalized advertising, content recommendations, or sale to companies that aggregate customer data.

SecondHandSongs is a collaborative website that maintains a global database of mainly cover versions of original works. It also contains information about adaptations and samples. The website allows performers and volunteer curators to add songs and update their metadata. It includes links to freely accessible recordings of the covers, and external identifiers for those works and performances in other databases.

References

  1. ↑ "About". MusicBrainz. MetaBrainz. Archived from the original on 2015-05-08. Retrieved 4 May 2015.
  2. ↑ "WHOIS Lookup". ICANN. Archived from the original on 2015-04-02. Retrieved 23 March 2015.
  3. ↑ Highfield, Ashley. "Keynote speech given at IEA Future Of Broadcasting Conference Archived 2008-04-22 at the Wayback Machine ", BBC Press Office, 2007-06-27. Retrieved on 2008-02-11.
  4. ↑ 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 2015-04-03. Retrieved 2015-08-28.
  5. ↑ "Database Statistics". MusicBrainz. Retrieved 2023-10-10.
  6. ↑ Fabian Scherschel (10 October 2012). "MusicBrainz and Internet Archive create cover art database". The H. Archived from the original on 7 December 2013.
  7. ↑ "MetaBrainz Blog". MetaBrainz Blog. Retrieved 2022-08-04.
  8. 1 2 "Database Statistics – Cover 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: News Archived 2013-09-21 at the Wayback Machine
  12. ↑ "Introducing Chromaprint – Lukáš Lalinský". Oxygene.sk. 2010-07-24. Archived from 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 and Security. 4 (4): 995–1004. doi:10.1109/TIFS.2009.2034452. S2CID   1502596 . Retrieved 2018-04-10.
  14. ↑ "MusicBrainz Licenses". Archived from the original on April 13, 2003. Retrieved 2015-10-23.
  15. ↑ MusicBrainz License as of 13-11-2010.
  16. ↑ Kaye, Robert (2006-03-12). "The MetaBrainz Foundation launches!" (Press release). MusicBrainz community blog. Archived from 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 on 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 BBC Archived 2018-02-20 at the Wayback Machine as of 2013-03-16
  21. 1 2 Staff 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 the Public Interest: MusicBrainz". Electronic Frontier Foundation. Retrieved 9 December 2023.
  25. ↑ Vigliensoni, Gabriel; Fujinaga, Ichiro (23 October 2017). "The Music Listening Histories Dataset". Proceedings of the 18th International Society for Music Information 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 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 . 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   9781450389785. S2CID   231628582 . Retrieved 13 February 2021.
  28. ↑ Schedl, Markus; Knees, Peter; McFee, Brian; Bogdanov, Dmitry (22 November 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 . Retrieved 9 December 2023.
  29. ↑ Pocaro, Lorenzo; Gómez, Emilia; Castillo, Carlos (12 July 2023). "Assessing the Impact of Music 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.

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