Hierarchical speaker identification based on PCA and multi-reduced SVM
基于PCA和多约简SVM的多级说话人辨识

This paper proposed a new hierarchical speaker identification system based on Multi-Reduced Support Vector Machine (MRSVM) and Principal Component Analysis (PCA) classifier to reduce the recognition time of speaker identification. First get a coarse judge by a fast scan of all registered speaker using PCA classifier, and then get a final decision-making by the proposed MRSVM. And the MRSVM has two reduction steps: PCA and kernel-based fuzzy clustering are used to reduce the dimensions and amounts of trainin...