DocumentCode
2858413
Title
Speech Enhancement Algorithm Based on Independent Component Analysis
Author
Li, Hong-Yan ; Zhao, Qing-Hua ; Ren, Guang-long ; Xiao, Bao-Jin
Author_Institution
Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China
Volume
2
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
598
Lastpage
602
Abstract
Speech enhancement algorithm based on independent component analysis is proposed. The standard independent component analysis algorithm require that the number of sensors is more than or equal to that of sources, so it is impossible to apply independent component analysis to single channel speech enhancement directly. In this paper, a single channel speech enhancement algorithm is proposed by constructing a noise signal to as another observation signal for single channel speech noise reduction based on independent component analysis, thereby noise and original speech can be separated through independent component analysis. Simulation result shows that much better denoising effect and signal-noise ratio can be obtained by using this algorithm.
Keywords
independent component analysis; signal denoising; speech enhancement; denoising effect; independent component analysis; signal-noise ratio; single channel speech enhancement; speech enhancement algorithm; speech separation; Additive noise; Blind source separation; Educational institutions; Independent component analysis; Noise reduction; Signal processing; Signal processing algorithms; Speech analysis; Speech enhancement; Speech processing; Blind sources separation; Independent component analysis; speech enhancement;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.76
Filename
5365859
Link To Document