Music Recommendation


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.


Musical similarity of songs in any music collection




Automatic generation of musical attributes such as moods (sad, happy), instrumentation (percussions, electro-beat) etc.
Filtering of music databases by musical attributes
Differentiation between speech and music
Works online and offline, e.g., automatic playlist generation for streaming services, cloud services etc.


No lead time: recommend music without a "cold start" problem
Sell music on the Long Tail: find less-known alternatives to popular music and the other way around and monetize the whole back catalogue
Easy connection: other data sources for rich meta-information can be linked to enhance the music discovery experience
Up to date: find similar songs even for new releases
Easy integration: audiogen's highly efficient architecture and low-memory footprint allows for implementation on almost any device