基于说话人模型聚类的说话人识别.pdf

Computer Engineering and Applications 计算机工程与应用 2014,50(2) 133
基于说话人模型聚类的说话人识别
熊华乔,郑建彬,詹恩奇,汪阳,华剑
XIONG Huaqiao, ZHENG Jianbin, ZHAN Enqi, WANG Yang, HUA Jian
武汉理工大学信息工程学院,武汉 430070
College of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
XIONG Huaqiao, ZHENG Jianbin, ZHAN Enqi, et al. Speaker recognition based on speaker model clustering.
Computer Engineering and Applications, 2014, 50(2):133-136.
Abstract:This paper proposes a speaker recognition method based on Speaker Model Clustering(SMC)to improve the
efficiency of the recognition system. Through the calculation of an approximated Kullback-Leibler divergence, the similar
speaker model is clustered. All of cluster centroid and cluster representative construct a hierarchical speaker recognition
model together. During the recognition stage, the cluster is selected by calculating distance between the test vectors and
cluster centroids or cluster representatives on the first step. In accordance with calculating the logarithmic likelihood
between the test vectors and the speaker models in the selected cluster, the speaker is determined, with the sharp decrease-
ment putation. The experimental results show that the proposed method improves the recognition speed about four
times and loses the accuracy rate about % compared with the traditional Gaussian Mixture Model(GMM). In conclu-