Volume 6 Number 12 (Dec. 2011)
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JSW 2011 Vol.6(12): 2416-2420 ISSN: 1796-217X
doi: 10.4304/jsw.6.12.2416-2420

Query by Humming Systems Using Melody Matching Model Based on the Genetic Algorithm

Jing Qin1, 2, Hongfei Lin1, Xinyue Liu1
1School of Computer Science and Technology, Dalian University of Technology, Dalian, China, 116024
2College of Information Engineering, Dalian University, Dalian, China, 116622

Abstract—Query by humming (QBH) refers to music information retrieval systems where short audio clips of singing or humming act as queries. Melody is considered as the most important feature in the queries and the songs. This paper proposes a QBH system using melody matching model based on the genetic algorithm and improving the ranking result by local sensitive hashing algorithm. An approximate template of the query music is constructed by melody contour aligning algorithm based on GA, which is used to align and correct the input pitch template. The validity of the algorithm is presented by the prototype of QBH system and effects of the algorithm are also shown by the experiment results.

Index Terms—music information retrieval, melody contour representation, audio system


Cite: Jing Qin, Hongfei Lin, Xinyue Liu, "Query by Humming Systems Using Melody Matching Model Based on the Genetic Algorithm," Journal of Software vol. 6, no. 12, pp. 2416-2420, 2011.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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