DocumentCode
921815
Title
Voiced-unvoiced-silence classifications of speech using hybrid features and a network classifier
Author
Qi, Yingyong ; Hunt, Bobby R.
Author_Institution
Dept. of Speech & Hearing Sci., Arizona Univ., Tucson, AZ, USA
Volume
1
Issue
2
fYear
1993
fDate
4/1/1993 12:00:00 AM
Firstpage
250
Lastpage
255
Abstract
Voiced-unvoiced-silence classification of speech was done using a multilayer feedforward network. The network performance was evaluated and compared to that of a maximum-likelihood classifier. Results indicated that the network performance was not significantly affected by the size of the training set and a classification rate as high as 96% was obtained
Keywords
feedforward neural nets; speech analysis and processing; speech recognition; hybrid features; maximum-likelihood classifier; multilayer feedforward network; network classifier; speech; training set; voiced-unvoiced-silence classification; Auditory system; Bayesian methods; Multidimensional systems; Nonhomogeneous media; Parameter estimation; Pattern recognition; Speech analysis; Speech enhancement; Training data; Vectors;
fLanguage
English
Journal_Title
Speech and Audio Processing, IEEE Transactions on
Publisher
ieee
ISSN
1063-6676
Type
jour
DOI
10.1109/89.222883
Filename
222883
Link To Document