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An alignment based system for chord sequence retrieval
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International Conference on Digital Libraries archive
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries table of contents
Austin, TX, USA
SESSION: 3 table of contents
Pages 101-104  
Year of Publication: 2009
ISBN:978-1-60558-322-8
Authors
Pierre Hanna  University Bordeaux, Talence, France
Matthias Robine  University Bordeaux, Talence, France
Thomas Rocher  University Bordeaux, Talence, France
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Music retrieval systems for Western tonal music digital ibraries have to consider rhythmic, timbral, melodic and harmonic information. Most existing retrieval systems only take into account melodies. Melody comparison may induce errors since two musical pieces can be very similar whereas their melodies may differ in a significant way. In this paper, we propose to investigate and experiment a retrieval system based on the comparison of chord progressions. The definition of chords may be ambiguous but their properties can be precisely described and represented. We detail the adaptations of alignment algorithms, successfully applied for the estimation of symbolic melodic similarity, for chord progression retrieval. Several experiments, performed on symbolic databases, show that the system described is robust to variations and outperforms a recent chord retrieval system.


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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Collaborative Colleagues:
Pierre Hanna: colleagues
Matthias Robine: colleagues
Thomas Rocher: colleagues