DocumentCode
1908932
Title
Nonlinear predictive vector quantisation with recurrent neural nets
Author
Wu, Lizhong ; Niranjan, Mahesan ; Fallside, Frank
Author_Institution
Dept. of Eng., Cambridge Univ., UK
fYear
1993
fDate
6-9 Sep 1993
Firstpage
372
Lastpage
381
Abstract
The nonlinear prediction capability of neural nets is applied to the design of improved predictive speech coders. Performance evaluations and comparisons with linear predictive speech coding are presented. These tests show the applicability of nonlinear prediction to speech coding and the improvement in coding performance
Keywords
prediction theory; recurrent neural nets; speech coding; vector quantisation; nonlinear predictive vector quantisation; performance evaluation; predictive speech coders; recurrent neural nets; Information filtering; Information filters; Neural networks; Nonlinear equations; Predictive models; Propagation losses; Recurrent neural networks; Speech coding; Testing; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Processing [1993] III. Proceedings of the 1993 IEEE-SP Workshop
Conference_Location
Linthicum Heights, MD
Print_ISBN
0-7803-0928-6
Type
conf
DOI
10.1109/NNSP.1993.471851
Filename
471851
Link To Document