AudioRadar: A metaphorical visualization for the navigation of large music collections

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Abstract

Collections of electronic music are mostly organized according to playlists based on artist names and song titles. Music genres are inherently ambiguous and, to make matters worse, assigned manually by a diverse user community. People tend to organize music based on similarity to other music and based on the music's emotional qualities. Taking this into account, we have designed a music player which derives a set of criteria from the actual music data and then provides a coherent visual metaphor for a similarity-based navigation of the music collection. © Springer-Verlag Berlin Heidelberg 2006.

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Hilliges, O., Holzer, P., Klüber, R., & Butz, A. (2006). AudioRadar: A metaphorical visualization for the navigation of large music collections. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4073 LNCS, pp. 82–92). Springer Verlag. https://doi.org/10.1007/11795018_8

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