Harmonic analysis from the computer representation of a musical score
Communications of the ACM - Electronic supplement to the December issue
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IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
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CMMR'05 Proceedings of the Third international conference on Computer Music Modeling and Retrieval
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Most work in the ad hoc music retrieval field has focused on the retrieval of monophonic documents using monophonic queries. Polyphony adds considerably more complexity. We present a method by which polyphonic music documents may be retrieved by polyphonic music queries. A new harmonic description technique is given, wherein the information from all chords, rather than the most significant chord, is used. This description is then combined in a new and unique way with Markov statistical methods to create models of both documents and queries. Document models are compared to query models and then ranked by score. Though test collections for music are currently scarce, we give the first known recall-precision graphs for polyphonic music retrieval, and results are favorable.