Title :
Enhancement of coded speech signals using artificial neural network techniques
Author :
Kaouri, H.A. ; Lin, M. L Soon
Author_Institution :
Queen´´s Univ. of Belfast, UK
Abstract :
Artificial neural network techniques have the capabilities of modelling both linear and nonlinear functions. It is believed that some sort of linear as well as nonlinear relationships do exist between a set of noisy signals and the corresponding clean signals and this can be exploited by using the neural network models. Therefore, the aim of the research work presented in the paper was to investigate the use of the artificial neural network techniques for the improvement of the quality of coded speech signals. The noise of primary concern here is the vector quantisation noise which has been added to the original speech samples during the coding process
Keywords :
encoding; neural nets; speech analysis and processing; speech intelligibility; artificial neural network; coded speech signals; linear functions; modelling; neural network models; noisy signals; nonlinear functions; speech quality; speech signals enhancement; vector quantisation noise;
Conference_Titel :
Digital Processing of Signals in Communications, 1991., Sixth International Conference on
Conference_Location :
Loughborough
Print_ISBN :
0-85296-522-2