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
fDate :
4/1/1993 12:00:00 AM
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;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
