Study on Closed-set Speaker Identification Based on Biomimetic Pattern Recognition  

作　　者：WU Lili WANG Shoujue 

机构地区：[1]Artificial Networks Laboratory, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China

出　　处：《Chinese Journal of Electronics》2009年第2期259-261,共3页电子学报（英文版）

摘　　要：In this paper, a new classifier of speaker identification has been proposed, which is based on Biomimetic pattern recognition （BPR）. Distinguished from traditional speaker recognition methods, such as DWT, HMM, GMM, SVM and so on, the proposed classifier is constructed by some finite sub-space which is reasonable covering of the points in high dimensional space according to distributing characteristic of speech feature points. It has been used in the system of speaker identification. Experiment results show that better effect could be obtained especially with lesser samples. Furthermore, the proposed classifier employs a much simpler modeling structure as compared to the GMM. In addition, the basic idea ＂cognition＂ of Biomimetic pattern recognition （BPR） results in no requirement of retraining the old system for enrolling new speakers.

关 键 词：Speaker identification Points distribution in high dimensional space Biomimetic pattern recognition. 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] TN912.34[自动化与计算机技术—计算机科学与技术]