Comparison of different techniques on Thai speech recognition

This paper introduces the comparison between Thai isolated word speech recognition techniques using the Hidden Markov Model, the Modified Backpropagation Neural Network, and the Fuzzy-Neural Network. The recognition has been made on the ten isolated Thai numerals from zero to nine under the same system configuration for all the approaches. The 15-state left-to-right discrete hidden Markov model in cooperation with the vector quantization technique was compared with the multilayer network using error backpropagation, the modified backpropagation, and also with the fuzzy-neural network with the same configuration. The recognition accuracy using hidden Markov model, neural network, modified neural network and fuzzy-neural network approaches are 84.250 percent, 73.030 percent, 78.000 percent, and 78.300 percent respectively