DocumentCode
1859430
Title
Linear predictive speech coding using fermat number transform
Author
Madre, G. ; Baghious, E.H. ; Azou, S. ; Burel, G.
Author_Institution
Lab. d´´Electronique et d´´Anal. de Telecommun., CNRS, Cedex, France
Volume
2
fYear
2003
fDate
2-5 July 2003
Firstpage
607
Abstract
This paper is about the reduction of the computational complexity of a speech codec. A linear predictive coding procedure is developed to allow its implementation with number theoretic transforms. The use of fermat number transform can reduce, in a significant way, the cost of linear predictive algorithm implantation on digital signal processor.
Keywords
autoregressive processes; computational complexity; linear predictive coding; speech codecs; speech coding; CS-ACELP codec G.729; Fermat number transform; autocorrelation; computational complexity; digital signal processor; linear predictive algorithm implantation; linear predictive speech coding; number theoretic transform; speech codec; Computational complexity; Linear predictive coding; Nonlinear filters; Performance analysis; Signal analysis; Signal processing; Signal processing algorithms; Speech analysis; Speech coding; Speech synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Video/Image Processing and Multimedia Communications, 2003. 4th EURASIP Conference focused on
Print_ISBN
953-184-054-7
Type
conf
DOI
10.1109/VIPMC.2003.1220530
Filename
1220530
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