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OFAI-TR-2006-09 ( 63kB g-zipped PostScript file,  69kB PDF file)

Probabilistic Combination of Features for Music Classification

Arthur Flexer, Fabien Gouyon, Simon Dixon, Gerhard Widmer

We describe an approach to combination of music similarity feature spaces in the context of music classification. The approach is based on taking the product of posterior probabilities obtained from separate classifiers for the different feature spaces. This allows for a different influence of the classifiers per song and an overall classification accuracy which improves those resulting from individual feature spaces alone. This is demonstrated by combining spectral and rhythmic similarity for classification of ballroom dance music.

Keywords: Music Information retrieval, Music Classification, Combination, Spectral Similarity, Rhythmic Similarity, Tempo

Citation: Flexer A., Gouyon F., Dixon S., Widmer G.: Probabilistic Combination of Features for Music Classification. Technical Report, Österreichisches Forschungsinstitut für Artificial Intelligence, Wien, TR-2006-09, 2006