CONSONANT RECOGNITION BASED ON FUZZY NEURAL NETWORK
基于模糊神经网络的声母识别

Conventional template matching technique is a successfully used algorithm in Chinese consonant recognition, yet its disadvantage limits its recovery of error,improvement of performance. The hybrid system based on the combination of neural network(NN) and fuzzy system maintains their advantages and makes full use of error tolerence performance, calculation performance, classification performance and decision performance for fuzzy neural network. In this paper, two kinds of cosonant recognition schemes based on fuzzy neural network are studied in detail. From the discussion of their structure,recognition rate and characteristics,it can be seen that recognition performance of fuzzy neural network is superior to template matching scheme and thus is more suitable for speech recognition.