This paper is devoted to problem of automatic voiced/unvoiced/silence 
classification in continuous speech. The multilayer perceptron classifier 
is proposed for decision of this problem. 
Experiments for estimating of accuracy, robustness and speed 
of algorithm operating in speaker-independent mode are carried out 
with TIMIT and NTIMIT speech corpuses.