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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, the basis for AcoustID identification service, was started in February 2010 by a long-time MusicBrainz contributor Lukáš Lalinský. [6] The oldest entry in the DB is from 8 Oct 2010. [7]
The software was developed by a team at Microsoft Research, led by researchers Dan Morris and Sumit Basu. [ 2 ] [ 3 ] [ 4 ] The product began as a research project called MySong, conducted at Microsoft Research in collaboration with a University of Washington student, Ian Simon, in the summer of 2007.
Practical uses of acoustic fingerprinting include identifying songs, melodies, tunes, or advertisements; sound effect library management; and video file identification. Media identification using acoustic fingerprints can be used to monitor the use of specific musical works and performances on radio broadcast , records , CDs , streaming media ...
Its creator intended to help media, broadcasters and app developers to identify, monitor and monetize content on the second screen. [1] ACRCloud allows users to upload their own content and ingest live feeds for audio identification and broadcast monitoring. Beyond that, ACRCloud has indexed over 68 million tracks in its music fingerprinting ...
Gracenote is known for MusicID, a music recognition software which identifies compact discs and delivers artist metadata and cover art to the desktop. The Gracenote database includes music genre and mood information, TV show descriptions, episode information, and channel line-ups, movie cast and crew information, and sports statistics and results.
The system was initially called "Video Identification" [17] [18] and later became known as Content ID. [3] By 2010, YouTube had "already invested tens of millions of dollars in this technology". [18] In 2011, YouTube described Content ID as "very accurate in finding uploads that look similar to reference files that are of sufficient length and ...
Shazam first became available as an app in 2006 exclusively on the Amp'd Mobile cellular service. Shazam for iPhone debuted on 10 July 2008, with the launch of Apple's App Store. The free app enabled users to launch iTunes and buy the song directly, [16] although the service struggled to identify classical music. [17]
Formal methods and databases — applications of automated music identification and recognition, such as score following, automatic accompaniment, routing and filtering for music and music queries, query languages, standards and other metadata or protocols for music information handling and retrieval, multi-agent systems, distributed search)