A noise robust content-based music retrieval system

Author

Yoon, Wonjung ; Park, Kyusik

Author_Institution

Dankook Univ., Yongin

fYear

2009

Firstpage

1

Lastpage

2

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 15 dB - 0 dB SNR, we confirmed the superior performance of the proposed system about 5% - 30% compared to MFCC and FBE (filter bank energy).

Keywords

audio signal processing; content-based retrieval; feature extraction; information retrieval; multimedia databases; music; speech recognition; ZCPA feature; filter bank energy; music retrieval system; noise robust content; speech recognition; Application software; Computer simulation; Content based retrieval; Indexing; Mel frequency cepstral coefficient; Music information retrieval; Noise robustness; Signal to noise ratio; Speech recognition; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, 2009. ICCE '09. Digest of Technical Papers International Conference on

Conference_Location

Las Vegas, NV

Print_ISBN

978-1-4244-4701-5

Electronic_ISBN

978-1-4244-2559-4

Type

conf

DOI

10.1109/ICCE.2009.5012212

Filename

5012212