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A Study of Noise Robust Content-Based Music Retrieval System  

Yoon, Won-Jung (Dept. of Computer Science and Statistics, Dankook University)
Park, Kyu-Sik (Dept. of Computer Science and Statistics, Dankook University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.45, no.6, 2008 , pp. 148-155 More about this Journal
Abstract
In this paper, we constructed the noise robust content-based music retrieval system in mobile environment. The performance of the proposed system was verified with ZCPA feature which is blown to have noise robust characteristic in speech recognition application. In addition, new indexing and fast retrieval method are proposed to improve retrieval speed about 99% compare to exhaustive retrieval for large music DB. From the computer simulation results in noise environment of 15dB - 0dB SNR, we confirm the superior performance of the proposed system about 5% - 30% compared to MFCC and FBE(filter bank energy) feature.
Keywords
content-based music retrieval; ZCPA; indexing method; fast retrieval method;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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