DocumentCode :
1499485
Title :
Equalization of speech and audio signals using a nonlinear dynamical approach
Author :
Chan, Albert M. ; Leung, Henry
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA
Volume :
7
Issue :
3
fYear :
1999
fDate :
5/1/1999 12:00:00 AM
Firstpage :
356
Lastpage :
360
Abstract :
We present the minimum phase space volume (MPSV) technique, a nonlinear dynamical technique for enhancing speech and audio signals corrupted by convolutional noise. The MPSV technique requires no assumptions or a priori information about the original signal, remains effective when the inverse filter order is overestimated, and significantly outperforms the LS method
Keywords :
acoustic noise; audio signal processing; deconvolution; filtering theory; nonlinear dynamical systems; phase space methods; speech enhancement; audio signals; blind deconvolution; convolutional noise; equalization; inverse filter order; minimum phase space volume technique; nonlinear dynamical approach; speech signals; Convolution; Deconvolution; Degradation; Extraterrestrial measurements; Nearest neighbor searches; Phase measurement; Phase noise; Signal analysis; Speech analysis; Speech enhancement;
fLanguage :
English
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6676
Type :
jour
DOI :
10.1109/89.759048
Filename :
759048
Link To Document :
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