Title :
Efficient nonlinear prediction in ADPCM
Author :
Faundez-Zanuy, Marcos ; VallverdÙ, Francesc ; Monte, Enric
Author_Institution :
Escola Univ. Politecnica de Mataro, Barcelona, Spain
Abstract :
In the last years there has been a growing interest for nonlinear speech models. Several works have been published revealing the better performance of nonlinear techniques, but little attention has been dedicated to the implementation of the nonlinear model into real applications. This work is focused on the study of the behaviour of a nonlinear predictive model based on neural nets, in a speech waveform coder. Our novel scheme obtains an improvement in SEGSNR between 1 and 2 dB for an adaptive quantization ranging from 2 to 5 bits
Keywords :
adaptive modulation; differential pulse code modulation; multilayer perceptrons; prediction theory; quantisation (signal); speech coding; 16 to 40 kbit/s; ADPCM; SEGSNR improvement; adaptive quantization; efficient nonlinear predictor scheme; multilayer perceptron; neural nets; nonlinear predictive model; nonlinear speech models; speech waveform coder; Bit rate; Databases; Linear predictive coding; Multilayer perceptrons; Neural networks; Neurons; Nonlinear filters; Quantization; Speech analysis; Speech synthesis;
Conference_Titel :
Electronics, Circuits and Systems, 1998 IEEE International Conference on
Conference_Location :
Lisboa
Print_ISBN :
0-7803-5008-1
DOI :
10.1109/ICECS.1998.814078
