Sound-Based Music Recommendation Technology
Music Recommendation with audiogen
audiogen is a semantic audio technology enabling the recommendation of tracks with sound characteristics similar to a “seed song” and features playlists according to your mood with just one click, e.g. happy/sad, calm/energetic. Recommendations are based on sound-similarity according to a variety of low, mid and high-level characteristics such as tone, color and rhythm, irrespective of metadata.
audiogen offers a “More like this” functionality. It can seamlessly be integrated into shop solutions to provide customized music recommendations that boost music sales enormously and increase consumer loyalty.
Features
Works online and offline, e.g., automatic playlist generation for streaming services, cloud services etc.
Automatic generation of musical attributes such as moods (sad, happy), instrumentation (percussions, electro-beat) etc.
Musical similarity of songs in any music collection
Differentiation between speech and music
Filtering of music databases by musical attributes
Benefits
Use Cases
music recommendations and discovery in download shops & streaming services,
mood-based music playlists on mobile or automotive devices,
music search on b2b platforms/marketplaces and
music playlists features in mobile applications