Title :
Automatic voice recognition using artificial neural network approach
Author :
Botros, N. ; Deiri, M.Z. ; Hsu, P.
Author_Institution :
Dept. of Electr. Eng., Southern Illinois Univ., Carbondale, IL, USA
Abstract :
Research to develop an algorithm for isolated-word recognition is described. Features extraction is carried out by applying a linear predictive coding (LPC) algorithm with order of 10. To implement and test the proposed algorithm a microcomputer-based data acquisition system has been designed and constructed. To examine the similarity between the reference and the training sets, a back propagation artificial neural net model with three layers is implemented. The adaptation rule implemented in this network is the generalized least mean square (LMS) rule
Keywords :
encoding; filtering and prediction theory; learning systems; neural nets; speech recognition; adaptation rule; artificial neural network approach; back propagation artificial neural net model; feature extraction; generalized least mean square; isolated-word recognition; linear predictive coding; microcomputer-based data acquisition system; training sets; Algorithm design and analysis; Artificial neural networks; Automatic speech recognition; Equations; Feature extraction; Linear predictive coding; Prediction algorithms; Signal processing algorithms; Speech analysis; System testing;
Conference_Titel :
Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on
Conference_Location :
Champaign, IL
DOI :
10.1109/MWSCAS.1989.101967
