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Manipulation of music for melody matching
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Source International Multimedia Conference archive
Proceedings of the sixth ACM international conference on Multimedia table of contents
Bristol, United Kingdom
Pages: 235 - 240  
Year of Publication: 1998
ISBN:0-201-30990-4
Authors
Alexandra L. Uitdenbogerd  Department of Computer Science, RMIT, Melbourne, Victoria, Australia
Justin Zobel  Department of Computer Science, RMIT, Melbourne, Victoria, Australia
Sponsors
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 7,   Downloads (12 Months): 52,   Citation Count: 25
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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.


REFERENCES

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

Collaborative Colleagues:
Alexandra L. Uitdenbogerd: colleagues
Justin Zobel: colleagues