A noise robust content-based music retrieval system

Abstract

In this paper, we constructed the noise robust content-based music retrieval system. The performance of the proposed system was verified with ZCPA feature, which is known to have noise robust characteristic in speech recognition application. In addition, new indexing and fast retrieval method were 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 confirmed the superior performance of the proposed system about 5% – 30% compared to MFCC and FBE (filter bank energy).