Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
10-2004
Abstract
This paper investigates the issues in polyphonic popular song retrieval. The problems that we consider include singing voice extraction, melodic curve representation, and database indexing. Initially, polyphonic songs are decomposed into singing voices and instruments sounds in both time and frequency domains based on SVM and ICA. The extracted singing voices are represented as two melodic curves that model the statistical mean and neighborhood similarity of notes. To speed up the matching between songs and query, we further adopt proportional transportation distance to index the songs as vantage point trees. Encouraging results have been obtained through experiments.
Keywords
ICA, Melodic Curve, Proportional Transportation Distance
Discipline
Graphics and Human Computer Interfaces | Theory and Algorithms
Research Areas
Intelligent Systems and Optimization
Publication
Proceedings of the 12th ACM International Conference on Multimedia, New York, 2004 October 10-16
First Page
308
Last Page
311
ISBN
9781581138931
Identifier
10.1145/1027527.1027598
Publisher
ACM
City or Country
New York
Citation
LEUNG, Tat-Wan and NGO, Chong-wah.
Indexing and matching of polyphonic songs for query-by-singing system. (2004). Proceedings of the 12th ACM International Conference on Multimedia, New York, 2004 October 10-16. 308-311.
Available at: https://ink.library.smu.edu.sg/sis_research/6442
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.