Research on Speaker Recognition Method Based on Subtractive Clustering and Improved Fuzzy C-means Clustering Algorithm

A speaker recognition method bas ed on subtractive clustering and improved FCM(Fuzzy C-Means)clustering is introduced,and the method uses Mel frequency cepstrum coefficient(MFCC)and its difference which are extracted from speech signals as the characteristic parameters.Subtractive clustering is utilized to initialize the cluster centers,improved FCM clustering is utilized to revise the cluster centers,and then the code book is formed.In recognition,each unrecognized speech signal is clustered to the code hook through FCM.The simulation results reveal that the presented method has a higher recognition rate,a better robustness and a simpler computation than those of the improved FCM.