Music Genome Project information

The Music Genome Project is a musical analysis project seeking to "capture the essence of music at the most fundamental level" using various attributes to describe songs and mathematics to connect them together into an interactive map. The Music Genome Project covers five music genres: Pop/Rock, Hip-Hop/Electronica, Jazz, World Music, and Classical.

Any given song is represented by approximately 450 "genes" (analogous to trait-determining genes for organisms in the field of genetics). Each gene corresponds to a characteristic of the music, for example, gender of lead vocalist, prevalent use of groove, level of distortion on the electric guitar, type of background vocals, etc. Rock and pop songs have 150 genes, rap songs have 350, and jazz songs have approximately 400. Other genres of music, such as world and classical music, have 300–450^[1] genes. The system depends on a sufficient number of genes to render useful results. Each gene is assigned a number between 0 and 5, in half-integer increments.^[2] The Music Genome Project's database is built using a methodology that includes the use of precisely defined terminology, a consistent frame of reference, redundant analysis, and ongoing quality control to ensure that data integrity remains reliably high.^[1]

Given the vector of one or more songs, a list of other similar songs is constructed using what the company calls its "matching algorithm". Each song is analyzed by a musician in a process that takes 20 to 30 minutes per song.^[3] Ten percent of songs are analyzed by more than one musician to ensure conformity with the in-house standards and statistical reliability.

The Music Genome Project was first conceived by Will Glaser in late 1999, and populated with musicological input from Tim Westergren in early 2000. In January 2000, they joined forces with Jon Kraft to found Savage Beast Technologies to bring their idea to market.^[4] The Music Genome Project was developed in its entirety by Pandora Media and remains the core technology used for Pandora Radio, its internet radio service. Although there was a time when the company licensed this technology for use by others, today it is limited for use only by its users.

^ ^a ^b "About The Music Genome Project". Pandora Internet Radio. Retrieved 17 August 2014.
^ U.S. patent 7,003,515
^ Ike, Elephant (February 2006). "Tiny Mix Tapes: Tim Westergren Interview". Retrieved 30 May 2013.
^ Westergren, Tim (March 9, 2009). "VV Show #54 - Tim Westergren of Pandora". Venture Voice (Interview). Interviewed by Greg Galant. Retrieved 2011-06-26.

[Pandora_about-1] "About The Music Genome Project". Pandora Internet Radio. Retrieved 17 August 2014.

[patent-2] U.S. patent 7,003,515

[3] Ike, Elephant (February 2006). "Tiny Mix Tapes: Tim Westergren Interview". Retrieved 30 May 2013.

[4] Westergren, Tim (March 9, 2009). "VV Show #54 - Tim Westergren of Pandora". Venture Voice (Interview). Interviewed by Greg Galant. Retrieved 2011-06-26.

Music Genome Project information

and 25 Related for: Music Genome Project information

Music Genome Project

The Art Genome Project

Music streaming service

Dimensionality reduction

Relevance

Decision support system

Netflix Prize

Nolan Gasser

Recommender system

Long tail

List of Mensans

Blow Me Away

Collaborative filtering

MGP

Similarity search

Jon Kraft

Movie Genome

Collective intelligence

Tim Westergren

Preference elicitation

List of Father Brown episodes

Moodbar

Content discovery platform

Robust collaborative filtering

Implicit data collection