Nielsen Holdings PLC unit Gracenote Inc. unveiled a music descriptor system called Sonic Style.
Using machine learning, Sonic Style scales insights on tens of millions of songs globally to help with music discovery, curation and personalization, according to a May 23 news release.
Gracenote said Sonic Style will allow streaming services to create playlists featuring a wider range of artists. The data also will help human music curators and algorithms filter outliers from playlists and recommendations.
"Now that playlists are the new albums, music curators are clamoring for deeper insights into individual recordings for better discovery and personalization," said Brian Hamilton, general manager of music and auto for Gracenote. "To achieve scale, Sonic Style applies neural network-powered machine learning to the world's music catalogs, enabling Gracenote to deliver granular views of musical styles across complete music catalogs. These new turbo-charged style descriptors will revolutionize how the world's music is organized and curated, ultimately delivering the freshest, most personalized playlists to keep fans listening."
