Performance Comparison of Classification Algorithms in Music Recognition using Violin and Cello Sound Files 


Vol. 30,  No. 5, pp. 305-312, May  2005


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  Abstract

Three classification algorithms are tested using musical instruments. Several classification algorithms are introduced and among them, Bayes rule, NN and k-NN performances evaluated. ZCR, mean, variance and average peak level feature vectors are extracted from instruments sample file and used as data set to classification system. Used musical instruments are Violin, baroque violin and baroque cello. Results of experiment show that the performance of NN algorithm excels other algorithms in musical instruments classification.

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  Cite this article

[IEEE Style]

J. C. Kim and K. s. Kwak, "Performance Comparison of Classification Algorithms in Music Recognition using Violin and Cello Sound Files," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 5, pp. 305-312, 2005. DOI: .

[ACM Style]

Jae Chun Kim and Kyung sup Kwak. 2005. Performance Comparison of Classification Algorithms in Music Recognition using Violin and Cello Sound Files. The Journal of Korean Institute of Communications and Information Sciences, 30, 5, (2005), 305-312. DOI: .

[KICS Style]

Jae Chun Kim and Kyung sup Kwak, "Performance Comparison of Classification Algorithms in Music Recognition using Violin and Cello Sound Files," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 5, pp. 305-312, 5. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880