DocumentCode :
3383092
Title :
Statistical signal mapping: a general tool for speech signal processing
Author :
Cheng, Yan Ming ; O´Shaughnessy, Dough ; Mermelstein, Paul
Author_Institution :
INRS-Telecommun., Nuns´´ Island, Que., Canada
fYear :
1992
fDate :
7-9 Oct 1992
Firstpage :
436
Lastpage :
439
Abstract :
Various forms of speech processing in practice take, or can be transformed to, the same form of input/output, and the relation of input/output generally can be expressed by a nonlinear function. This paper proposes a framework for identifying statistically the non-linear function concerning the statistical nature of speech. It demonstrates the applicability of this framework in a particular context, that of speech recovery
Keywords :
signal processing; speech analysis and processing; statistical analysis; nonlinear function; speech recovery; speech signal processing; statistical signal mapping; Business; Noise cancellation; Signal mapping; Signal processing; Smoothing methods; Speech codecs; Speech enhancement; Speech processing; Wideband; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0508-6
Type :
conf
DOI :
10.1109/SSAP.1992.246878
Filename :
246878
Link To Document :
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