DocumentCode
353798
Title
The application of BP type neural network in speech coding
Author
Xueying, Zhang
Author_Institution
Taiyuan Univ. of Technol., China
Volume
4
fYear
2000
fDate
2000
Firstpage
2468
Abstract
The paper discusses the method that uses the BP algorithm of neural networks to code the speech signal by means of nonlinear prediction aiming at the non-stationary and nonlinear features of speech signals. Taking the G.721 ADPCM speech coding algorithm as an example, the method of nonlinear prediction replacing linear prediction is presented. The results indicate that the coding quality using neural network nonlinear prediction is better than that of using linear prediction
Keywords
backpropagation; differential pulse code modulation; neural nets; prediction theory; speech coding; G.721 ADPCM speech coding; backpropagation; neural network; nonlinear prediction coding; speech coding; Intelligent networks; Neural networks; Speech coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.862486
Filename
862486
Link To Document