Fuzzy Classified Algorithms Applied to the Speech Recognition in a Strong Noise Environment

A method utilizing fuzzy classified algorithms for the speech recognition of the Chinese language with a large vocabulary in a strong noise environment was proposed. Accoding to the phonetic characteristics of the Chinese language, the boundary crossing classified and the boundaryless fuzzy classified algorithems were successfully used in classifying the Chinese language with a large vocabulary in a strong niose environment. Good results were achieved in applying these algorithms to speech recognition system.The correctly recognizing rate is 95% of 500 Chinese phrases under test in the 75dB noise enviroment.