Title :
A noise robust content-based music retrieval system
Author :
Yoon, Wonjung ; Park, Kyusik
Author_Institution :
Dankook Univ., Yongin
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;
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
DOI :
10.1109/ICCE.2009.5012212
