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Voiced-unvoiced-silence classifications of speech using hybrid features and a network classifier

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2 Author(s)
Y. Qi ; Dept. of Speech & Hearing Sci., Arizona Univ., Tucson, AZ, USA ; B. R. Hunt

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

Published in:

IEEE Transactions on Speech and Audio Processing  (Volume:1 ,  Issue: 2 )