Gracenote Global Descriptors Power Meaningful Discovery
Every streaming music service on the planet is driven by data. It’s an essential ingredient to today’s music experiences. And Gracenote has descriptive data for practically every song ever recorded. All of this descriptive information is used to make deep connections between artists and tracks, creating radio stations and playlists that share common musical characteristics.
Gracenote has the industry’s most comprehensive source of descriptive music data available today.
Global Descriptor System
Global Genre System
- Gracenote has the industry’s most comprehensive source of descriptive music data available today.
- Customers can seamlessly map music descriptors to artists and recording in their catalog through Gracenote’s Global Music Data.
- Track-level descriptors for Mood, Tempo and Style are derived from audio analysis, with multiple values assigned to track and weighted to reflect the music.
- Flexible delivery via Gracenote Global Music Data through export files and API.
Gracenote Descriptor System
2,824 Genres, 515 Sonic Styles, 484 Languages
Available Music Descriptors
Genre: Describes the musical style of the Artist, Album, or Recording.
Language: Artist Language indicates the languages in which the artist has recorded in.
Origin: Indicates the geographic region(s) with which the recording artist is most strongly associated.
Era: Indicates the time period(s) in which the artist created its most relevant recordings.
Artist type: Indicates the configuration in which the artist typically performs.
Sonic Mood: Track-level perceptual descriptor of a piece of music, using emotional terminology that a typical listener might use to describe the audio track.
Sonic Style: Describes musical style elements detected in a Recording using machine learning, based purely on the nature of the recording audio itself, and are different from Artist Genres, which describe the musical and cultural context of an artist and are assigned editorially.
Tempo: Indicates the 3 most perceptually relevant beat rates detected in the Recording.