Title :
Speech enhancement using non-linear prediction
Author :
Le, T.T. ; Mason, J.S.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Coll. of Swansea, UK
Abstract :
Describes a method for speech enhancement using multi-layer perceptrons (MLP) configured for time domain non-linear prediction (NLP) as originally proposed by Kaouri and Lin (1988) and Tamura and Waibel (1988). In addition, the authors present details of the influence of the non-linear operations compared directly with the linear case. Experimental results show that nonlinear MLPs provide better performances than linear equivalent systems. Results also show that MLPs with a multi-output structure give improved performances over MLPs with single-output structure and normalisation can affect MLPs performance.<>
Keywords :
feedforward neural nets; filtering and prediction theory; speech analysis and processing; time-domain analysis; MLP; multilayer perceptrons; multioutput structure; normalisation; performance; speech enhancement; time domain nonlinear prediction; Databases; Degradation; Educational institutions; Linearity; Multilayer perceptrons; Nonlinear filters; Predictive models; Signal mapping; Speaker recognition; Speech enhancement;
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
DOI :
10.1109/TENCON.1993.327983
