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Music ownership databases are created from the idea that with more transparency about the owners of musical compositions, the lower the costs become to create and use music. For example, a derivative license is needed when a portion of a piece of music is used in a different piece, which is a common practice in hip hop music , among other genres.
Broadcast Music, Inc. ( BMI) is a performance rights organization in the United States. It collects blanket license fees from businesses that use music, entitling those businesses to play or sync any songs from BMI's repertoire of over 22.4 million musical works. [2] On a quarterly basis, BMI distributes the money to songwriters, composers, and ...
User-generated database of comparison between original tracks and covers, or songs that use samples. 460,000. 150,000. SIMUC. Chilean music and musicians. SIMUC is a Non-profit organisation that collects data on composers, academics, institutions, people and other topics related to classical music and Chile .
A note of consolidation in the world of digital music: Rumblefish, a company that works with the likes of YouTube, Amazon, Vimeo, Facebook and Slideshare to let users add licensed soundtracks to ...
Created in 1939, BMI represents the public performance rights in more than 20 million musical works created and owned by more than 1.3 million songwriters, composers, and music publishers.
Music Reports has compiled and maintains Songdex, the world's largest database and registry of music rights, with information on over 120 million sound recordings and related musical compositions, publishers, and composers. Recently, Songdex.com was launched, which allows registered users access to its data. Music Reports currently serves as a ...
Hipgnosis’s music catalog is valued at around $2.1 billion, per the company’s latest annual report. However, the company’s market value is now just £897 million ($1.1 billion). Shares in ...
Music information retrieval ( MIR) is the interdisciplinary science of retrieving information from music. Those involved in MIR may have a background in academic musicology, psychoacoustics, psychology, signal processing, informatics, machine learning, optical music recognition, computational intelligence, or some combination of these.