Title :
Speech recognition techniques using RBF networks
Author :
Phillips, William J. ; Tosuner, Caner ; Robertson, William
Author_Institution :
Dept. of Appl. Math., Tech. Univ. Nova Scotia, Halifax, NS, Canada
Abstract :
This paper presents a pattern recognition approach, based on whole word patterns, to speaker independent automatic speech recognition of isolated digits. We use the decomposition of the spoken word into subacoustic words to ensure time alignment of the significant portions of the input´s acoustic characteristics and those of the reference patterns. The Isodata clustering algorithm is used by the radial basis function (RBF) network to create reference templates and classification of the speech samples
Keywords :
feedforward neural nets; pattern recognition; speech recognition; Isodata clustering algorithm; RBF networks; acoustic characteristics; isolated digits; pattern recognition; radial basis function network; reference patterns; reference templates; speaker independent automatic speech recognition; speech recognition techniques; speech samples classification; spoken word decomposition; subacoustic words; time alignment; whole word patterns; Artificial neural networks; Automatic speech recognition; Clustering algorithms; Feature extraction; Logic testing; Loudspeakers; Pattern recognition; Radial basis function networks; Signal processing algorithms; Speech recognition;
Conference_Titel :
WESCANEX 95. Communications, Power, and Computing. Conference Proceedings., IEEE
Conference_Location :
Winnipeg, Man.
Print_ISBN :
0-7803-2725-X
DOI :
10.1109/WESCAN.1995.493968
