Music Genre Classification Using Text Categorization Method
نویسندگان
چکیده
Automatic music genre classification is one of the most challenging problems in music information retrieval and management of digital music database. In this paper, we propose a new method to classify music genres using text categorization methods. Differing from previous solutions which were mainly based on analysis on acoustic or symbolic audio signal, here we consider music as a text-like semantic document, which is represented by a set of music symbol lexicons with a HMM (Hidden Markov Models) cluster. Music symbols can therefore be viewed as high-level features or semantic features such as beats or rhythms. We then employ latent semantic indexing (LSI) technique, which is widely adopted in text categorization, for music genre classification. Experiments demonstrate that we could achieve an average recall over 70% for ten musical genres. Keywords—Music Genre Classification;LSI;HMM;MC MFom Topic area—Multimedia Databases
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