TheMusical Avatar

Martín Haro, Anna Xambó, Ferdinand Fuhrmann, Dmitry Bogdanov, Emilia Gómez, Perfecto Herrera
2010 Proceedings of the 5th Audio Mostly Conference on A Conference on Interaction with Sound - AM '10  
The music we like (i.e. our musical preferences) encodes and communicates key information about ourselves. Depicting such preferences in a condensed and easily understandable way is very appealing, especially considering the current trends in social network communication. In this paper we propose a method to automatically generate, given a provided set of preferred music tracks, an iconic representation of a user's musical preferences -the Musical Avatar. Starting from the raw audio signal we
more » ... rst compute over 60 low-level audio features. Then, by applying pattern recognition methods, we infer a set of semantic descriptors for each track in the collection. Next, we summarize these tracklevel semantic descriptors, obtaining a user profile. Finally, we map this collection-wise description to the visual domain by creating a humanoid cartoony character that represents the user's musical preferences. We performed a proof-ofconcept evaluation of the proposed method on 11 subjects with promising results. The analysis of the users' evaluations shows a clear preference for avatars generated by the proposed semantic descriptors over avatars derived from neutral or randomly generated values. We also found a general agreement on the representativeness of the users' musical preferences via the proposed visualization strategy.
doi:10.1145/1859799.1859813 dblp:conf/audio/HaroXFBGH10 fatcat:scbtgj3jfvcrfmjgylruphynqi