Research on Method of Speaker Recognition Based on Subtractive Clustering and Improved FCM

摘要：

A speaker recognition method based on subtractive clustering and improved FCM clustering is introduced in this paper. MFCC and their difference MFCC are extracted from speech signal, secondly, subtractive clustering is utilized to initialize cluster centers, then improved FCM clustering is utilized to revise cluster centers and lastly code book is formed. In recognition, each unrecognized speech signal is clustered to the code books through FCM. The results of simulation experiments reveal that it has a higher recognition rate than that of single improved FCM and better robustness with simpler computation.

作者: Lianyan Cui Hongkui Cao Liu Cui

作者单位: College of Information Science and Engineering Liaoning University of Technology Jinzhou, China 121001

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）