Voiced-unvoiced-silence classifications of speech using hybrid features and a network classifier
نویسندگان
چکیده
Voiced-unvoiced-silence classhation of speech was made using a multilayer feedforward network. The network was evaluated and compared to a maximum-likelihood classiller. Results indicated that the network performance was not significantly affected by the size of training set and a classification rate as high as 96% was obtained.
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عنوان ژورنال:
- IEEE Trans. Speech and Audio Processing
دوره 1 شماره
صفحات -
تاریخ انتشار 1993