A hybrid model of hidden Markov models and a self-organizing neural network model in speech recognition

This paper proposed a hybrid model based on hidden Markov models and a self-organizing neural network model, which can be used to speech recognition. The algorithm of training and adjustment coefficient vectors is given. Experimental results demonstrate the efficiency of the new algorithm in speech recognition.