A VECTOR QUANTIZATION APPROACH BASED ON SFCM FUZZY CLUSTERING IN SPEECH RECOGNITION

The algorithm of fuzzy clustering analysis can be used to determine the sample classification.Because of its good effect,this method has been adopted widely in the field of speech recognition.Here presented is a fuzzy clustering analysis algorithm SFCM,which is applied to the vector quantization of the speech feature.The code vector that is 128 quantization degrees is built.The distribution of the code vector that is obtained by SFCM is reasonable and there are not empty classes.The experiment results of the speech recognition that employs this kind of code vector demonstrate the efficiency of this quantization method for speech recognition.