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Author Nozaki, T. ♦ Kameyama, K.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Feature selection ♦ Instruments ♦ Music ♦ Feature extraction ♦ Content-based music retrieval ♦ Multiple signal classification ♦ Particle swarm optimization ♦ Optimization ♦ Particle Swarm Optimization ♦ Convergence
Abstract Studies on content-based music retrieval (CBMR) which search music by analyzing their acoustic features and defining their similarity, have been conducted actively. However, it is desirable that the similarity evaluation be adaptive to each user's demand, because the search criteria differs user by user. In this paper, we propose a framework of CBMR that tries to satisfy the various demands of different users. We propose a method which improves retrieval accuracy to meet the demands of the users by adjusting the weights corresponding to the importance of features extracted from music using Particle Swarm Optimization (PSO). Moreover, we propose the use a type of PSO which enables an efficient parameter search by limiting the search domain according to the inherent characteristics of the parameter space of this problem. In the experiments, we verified that the suitable weight set is selected for different demands, improving the retrieval precision.
Description Author affiliation: Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan (Nozaki, T.; Kameyama, K.)
ISBN 9781424481347
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-11-29
Publisher Place Egypt
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424481361
Size (in Bytes) 736.04 kB
Page Count 6
Starting Page 941
Ending Page 946

Source: IEEE Xplore Digital Library