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ABSTRACT
Many types of user would find it valuable to search collections
of music via queries representing music fragments, but such
searching requires a reliable technique for identifying whether a
provided fragment occurs within a piece of music. The problem of
matching fragments to music is made difficult by the psychology of
music perception, because literal matching may have litile relation
to perceived melodic similarity, and by the interactions between
the multiple parts of typical pieces of music. In this paper we
analyse the propeties of music, music perception, and music
database users, and use the analysis to propose alternative
techniques for extracting monophonic melodies from polyphonic
music; we believe that such melodies can subsequently be used for
matching of queries to data. We report on experiments with music
listeners, which rank our proposed techniques for extracting
melodies.
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Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 25
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Savitha Srinivasan , Dragutin Petkovic , Dulce Ponceleon, Towards robust features for classifying audio in the CueVideo system, Proceedings of the seventh ACM international conference on Multimedia (Part 1), p.393-400, October 30-November 05, 1999, Orlando, Florida, United States
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Jia-Lien Hsu , Arbee L. P. Chen , Hung-Chen Chen , Ning-Han Liu, The effectiveness study of various music information retrieval approaches, Proceedings of the eleventh international conference on Information and knowledge management, November 04-09, 2002, McLean, Virginia, USA
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