Doraisamy, Shyamala and Rüger, Stefan
Robust polyphonic music retrieval with n-grams.
Journal of Intelligent Information Systems, 21(1) pp. 53–70.
In this paper we investigate the retrieval performance of monophonic and polyphonic queries made on a polyphonic music database. We extend the n-gram approach for full-music indexing of monophonic music data to polyphonic music using both rhythm and pitch information. We define an experimental framework for a comparative and fault-tolerance study of various n-gramming strategies and encoding levels. For monophonic queries, we focus in particular on query-by-humming systems, and for polyphonic queries on query-by-example. Error models addressed in several studies are surveyed for the fault-tolerance study. Our experiments show that different n-gramming strategies and encoding precision differ widely in their effectiveness. We present the results of our study on a collection of 6366 polyphonic MIDI-encoded music pieces.
||polyphonic music retrieval; n-grams; query by humming; query by example; fault-tolerance
||Knowledge Media Institute
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||12 Jun 2007
||04 Apr 2011 09:21
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