ACM Home Page
Please provide us with feedback. Feedback
A robust retrieval system of polyphonic music based on chord progression similarity
Full text PdfPdf (435 KB)
Source
Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval table of contents
Boston, MA, USA
POSTER SESSION: Posters table of contents
Pages 768-769  
Year of Publication: 2009
ISBN:978-1-60558-483-6
Authors
Pierre Hanna  University Bordeaux, Talence, France
Thomas Rocher  University Bordeaux, Talence, France
Matthias Robine  University Bordeaux, Talence, France
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 14,   Downloads (12 Months): 69,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1571941.1572119
What is a DOI?

ABSTRACT

Retrieval systems for polyphonic music rely on the automatic estimation of similarity between two musical pieces. In the case of symbolic music, existing systems either consider a monophonic reduction based on melody or propose algorithms with high complexity. In this paper, we propose a new approach. Musical pieces are represented as a sequence of chords which are estimated from groups of notes sounding at the same time. A root and a mode are associated to each chord. Local alignment is then applied for estimating a similarity score between these sequences. Experiments performed on MIDI files collected on the Internet show that the system proposed allows the retrieval of different versions of the same song.


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.

 
1
J. Bello. Audio-based Cover Song Retrieval using Approximate Chord Sequences: Testing Shifts, Gaps, Swaps and Beats. In Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 239--244, Vienna, Austria, 2007.
 
2
B. De Haas, R. Veltkamp, and F. Wiering. Tonal Pitch Step Distance: A Similarity Measure for Chord Progressions. In Proceedings of the International Conference on Music Information Retrieval (ISMIR), pages 51--56, 2008.
 
3
 
4
P. Hanna, M. Robine, P. Ferraro, and J. Allali. Improvements of Alignment Algorithms for Polyphonic Music Retrieval. In Proceedings of the Int. Computer Music Modeling and Retrieval Conference (CMMR), pages 244--251, Copenhagen, Denmark, 2008.
 
5
K. Lemström and A. Pienimaki. Approaches for Content-Based Retrieval of Symbolically Encoded Polyphonic Music. In Proceedings of the International Conference on Music Perception and Cognition (ICMPC), pages 1028--1035, Bologna, Italy, 2006.
 
6
F. Lerdahl. Tonal Pitch Space. Oxford University Press, 2001.
 
7
A. Lubiw and L. Tanur. Pattern Matching in Polyphonic Music as a Weighted Geometric Translation Problem. In Proceedings of the 5th International Conference on Music Information Retrieval (ISMIR), pages 289--296, Barcelona, Spain, October 2004.
 
8
M. Mongeau and D. Sankoff. Comparison of Musical Sequences. Computers and the Humanities, 24(3):161--175, 1990.
 
9
 
10
B. Pardo and M. Sanghi. Polyphonic Musical Sequence Alignment for Database Search. In Proceedings of the 6th International Conference on Music Information Retrieval (ISMIR), pages 215--222, London, UK, 2005.
 
11
T. Smith and M. Waterman. Identification of Common Molecular Subsequences. Journal of Molecular Biology, 147:195--197, 1981.
12

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