关键词: 多约简支持向量机, 模糊核聚类, 说话人辨识, LDA变换

Abstract: A speaker identification method is proposed based on a novel Multi-Reduced Support Vector Machine（MRSVM）.Firstly，speech feature dimensions are reduced by using LDA transform；Secondly，the training data are selected at boundary of each cluster as Support Vectors（SVs） by using kernel-based fuzzy clustering technique.The experiment results show that the training data，time and storage can be reduced remarkably by using the proposed method without deteriorating recognition performance.The method is proved to be effective by the experiments.

Key words: Multi-Reduced Support Vector Machine（MRSVM）, kernel-based fuzzy clustering, speaker identification, LDA transform