DocumentCode
703527
Title
ADPCM with nonlinear prediction
Author
Faundez-Zanuy, Marcos ; Oliva-Suarez, Oscar
fYear
1998
fDate
8-11 Sept. 1998
Firstpage
1
Lastpage
4
Abstract
Many speech coders are based on linear prediction coding (LPC), nevertheless with LPC is not possible to model the nonlinearities present in the speech signal. Because of this there is a growing interest for nonlinear techniques. In this paper we discuss ADPCM schemes with a nonlinear predictor based on neural nets, which yields an increase of 1-2.5dB in the SEGSNR over classical methods. This paper will discuss the block-adaptive and sample-adaptive predictions.
Keywords
linear codes; neural nets; speech coding; ADPCM scheme; LPC; linear prediction coding; neural nets; nonlinear predictor; speech coders; speech signal; Neural networks; Predictive models; Quantization (signal); Speech; Speech coding; Switches; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location
Rhodes
Print_ISBN
978-960-7620-06-4
Type
conf
Filename
7089998
Link To Document