In this paper, we proposed a method of segmenting speech signal by neural network and its validity is proved by computer simulation. The neural network Is composed of multi layer perceptrons with one hidden layer. The matching accuracies of the proposed algorithm are measured for continuous vowel and place names. The resulting average matching accuracy is 100% for speaker-dependent case, 99.5% for speaker-independent case and 94.5% for each place name when the neural network 1,; trained for 6 place names simultaneously.