Title :
Real world source separation by combining ICA and VD-CDWT in time-frequency domain
Author :
Zhang, Zhong ; Aoki, Yasudake ; Toda, Hiroshi ; Miyake, Tetsuo ; Imamura, Takashi
Author_Institution :
Dept. of Production Syst. Eng., Toyohashi Univ. of Technol., Toyohashi, Japan
Abstract :
It is well known that in real world source separation, the environment noise removal must be considered with complex reverberating sound, and various noises. In this study, in order to improve the voice recognition accuracy in real world source separation, a new method that uses independent component analysis (ICA) in the time-frequency domain using the variable density complex discrete wavelet transform (VD-CDWT) and the subspace method has been proposed. Through comparison of the results according to signal noise ratio (SNR), the effectiveness of the proposed method is confirmed.
Keywords :
discrete wavelet transforms; independent component analysis; signal denoising; source separation; speech processing; speech recognition; time-frequency analysis; environment noise removal; independent component analysis; reverberating sound; signal noise ratio; source separation; subspace method; time-frequency domain; variable density complex discrete wavelet transform; voice recognition; Acoustic noise; Discrete wavelet transforms; Independent component analysis; Signal to noise ratio; Source separation; Speech recognition; Time frequency analysis; Wavelet analysis; Wavelet domain; Working environment noise; Independent component analysis; Sound source; Time-frequency analysis; Wavelet transform;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3728-3
Electronic_ISBN :
978-1-4244-3729-0
DOI :
10.1109/ICWAPR.2009.5207450
