Automatically Describing Music on a Map

Description

In this paper, we present a technique to automatically create music maps labeled with semantic descriptors, the so called Music Description Maps (MDM). Based on a Self-organizing Map (SOM) trained on audio features, we create term profiles that characterize the type of music in the various clusters. To this end, we efficiently retrieve musicrelated term descriptors for music artists from theWeb. These descriptors are used in conjuction with a SOM-labeling strategy to identify words and phrases commonly used in the context of the associated music. Additionally, regions of similar clusters are uncovered. Music maps labeled in such a manner can aid the user in retrieving desired music from a very large repository, either by providing landmarks on the map or by allowing the formulation of queries consisting of terms describing the musical content.

Period	06 Dec 2006
Event title	1st Workshop on Learning the Semantics of Audio Signals (LSAS 2006), 1st International Conference on Semantics and Digital Media Technology (SAMT 2006)
Event type	Conference
Location	GreeceShow on map