A comparison of music similarity measures for a P2P application

Stephan Baumann; Tim Pohle
DAFx-2003 - London
In this paper we compare different methods to compute music similarity between songs. The presented approaches have been reported by other authors in the field and we implemented minor improvements of them. We evaluated the different methods on a common database of MP3 encoded songs covering different genres, albums and artists. We used the best approach of the evaluation in a P2P scenario to compute song profiles and recommendations for similar songs. We will describe this integration in the second part of the paper.