Article

Harmonic models for polyphonic music retrieval

Authors:

Jeremy Pickens,

Tim CrawfordAuthors Info & Claims

CIKM '02: Proceedings of the eleventh international conference on Information and knowledge management

Pages 430 - 437

https://doi.org/10.1145/584792.584863

Published: 04 November 2002 Publication History

Abstract

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.

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Cited By

Cambouropoulos EKaliakatsos-Papakostas M(2022)Symbolic Approaches and Methods for Analyzing Musical SimilarityThe Oxford Handbook of Music and Corpus Studies10.1093/oxfordhb/9780190945442.013.9Online publication date: 18-Aug-2022
https://doi.org/10.1093/oxfordhb/9780190945442.013.9
Wang HLiu JHutchings BBetz V(2013)An FPGA based parallel architecture for music melody matchingProceedings of the ACM/SIGDA international symposium on Field programmable gate arrays10.1145/2435264.2435305(235-244)Online publication date: 11-Feb-2013
https://dl.acm.org/doi/10.1145/2435264.2435305
de Haas WWiering FVeltkamp R(2013)A geometrical distance measure for determining the similarity of musical harmonyInternational Journal of Multimedia Information Retrieval10.1007/s13735-013-0036-62:3(189-202)Online publication date: 18-Jun-2013
https://doi.org/10.1007/s13735-013-0036-6
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Harmonic models for polyphonic music retrieval
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Published In

cover image ACM Conferences

CIKM '02: Proceedings of the eleventh international conference on Information and knowledge management

November 2002

704 pages

ISBN:1581134924

DOI:10.1145/584792

General Chair:
Charles Nicholas
University of Maryland Baltimore County
,
Program Chairs:
David Grossman
Illinois Institute of Technology
,
Konstantinos Kalpakis
University of Maryland Baltimore County
,
Sajda Qureshi
Erasmus University, Rotterdam
,
Han van Dissel
Erasmus University, Rotterdam
,
Len Seligman
The MITRE Corporation

Copyright © 2002 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 November 2002

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Cited By

Cambouropoulos EKaliakatsos-Papakostas M(2022)Symbolic Approaches and Methods for Analyzing Musical SimilarityThe Oxford Handbook of Music and Corpus Studies10.1093/oxfordhb/9780190945442.013.9Online publication date: 18-Aug-2022
https://doi.org/10.1093/oxfordhb/9780190945442.013.9
Wang HLiu JHutchings BBetz V(2013)An FPGA based parallel architecture for music melody matchingProceedings of the ACM/SIGDA international symposium on Field programmable gate arrays10.1145/2435264.2435305(235-244)Online publication date: 11-Feb-2013
https://dl.acm.org/doi/10.1145/2435264.2435305
de Haas WWiering FVeltkamp R(2013)A geometrical distance measure for determining the similarity of musical harmonyInternational Journal of Multimedia Information Retrieval10.1007/s13735-013-0036-62:3(189-202)Online publication date: 18-Jun-2013
https://doi.org/10.1007/s13735-013-0036-6
de Haas WRobine MHanna PVeltkamp RWiering F(2011)Comparing Approaches to the Similarity of Musical Chord SequencesExploring Music Contents10.1007/978-3-642-23126-1_16(242-258)Online publication date: 2011
https://doi.org/10.1007/978-3-642-23126-1_16
De Haas WRobine MHanna PVeltkamp RWiering F(2010)Comparing approaches to the similarity of musical chord sequencesProceedings of the 7th international conference on Exploring music contents10.5555/2040789.2040809(242-258)Online publication date: 21-Jun-2010
https://dl.acm.org/doi/10.5555/2040789.2040809
Kovačević AMilosavljević BKonjović ZVidaković M(2010)Adaptive content-based music retrieval systemMultimedia Tools and Applications10.1007/s11042-009-0336-247:3(525-544)Online publication date: 1-May-2010
https://dl.acm.org/doi/10.1007/s11042-009-0336-2
Yoshihara YMiura TShioya I(2007)Classifying polyphonic melodies by chord estimation based on hidden Markov modelProceedings of the 8th international conference on Intelligent data engineering and automated learning10.5555/1777942.1778004(589-598)Online publication date: 16-Dec-2007
https://dl.acm.org/doi/10.5555/1777942.1778004
Yoshihara YMiura TShioya I(2007)Classifying Polyphonic Melodies by Chord Estimation Based on Hidden Markov ModelIntelligent Data Engineering and Automated Learning - IDEAL 200710.1007/978-3-540-77226-2_60(589-598)Online publication date: 2007
https://doi.org/10.1007/978-3-540-77226-2_60
Conklin D(2006)Melodic analysis with segment classesMachine Language10.1007/s10994-006-8712-x65:2-3(349-360)Online publication date: 1-Dec-2006
https://dl.acm.org/doi/10.1007/s10994-006-8712-x
Yoshihara YMiura T(2006)Classifying polyphony music based on markov modelProceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning10.1007/11875581_84(697-706)Online publication date: 20-Sep-2006
https://dl.acm.org/doi/10.1007/11875581_84
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