SVR-based music mood classification and context-based music recommendation
MM '09 Proceedings of the 17th ACM international conference on Multimedia
A social crowd-controlled orchestra
Proceedings of the 2013 conference on Computer supported cooperative work companion
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Music is a major element of social gatherings. However, creating playlists that suit everyone's tastes and the mood of the group can require a large amount of manual effort. In this paper, we present MoodMusic, a method to dynamically generate contextually appropriate music playlists for groups of people. MoodMusic uses speaker pitch and intensity in the conversation to determine the current 'mood'. MoodMusic then queries the online music libraries of the speakers to choose songs appropriate for that mood. This allows groups to listen to music appropriate for their current mood without managing playlists. This work contributes a novel method for dynamically creating music playlists for groups based on their music preferences and current mood.