Title :
A novel method of speech recognition using feedforward neural network technology
Author :
Ahmad, J. ; Fatmi, H.A.
Author_Institution :
King´´s Coll., London, UK
Abstract :
A feedforward neural network is designed for speech recognition using one step ahead prediction techniques which is basically derived from Gabor´s theory of communication and cybernetics. The simulation results are carried out on speech data with noise and without noise, which indicate better performance
Keywords :
feedforward neural nets; filtering theory; learning (artificial intelligence); noise; speech recognition; Gabor´s theory; cybernetics; feedforward neural network; learning algorithm; noise; one step ahead prediction; speech recognition; Competitive intelligence; Computational and artificial intelligence; Computational modeling; Computer architecture; Computer errors; Educational institutions; Feedforward neural networks; Feeds; Neural networks; Speech recognition;
Conference_Titel :
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2129-4
DOI :
10.1109/ICSMC.1994.400179
