Speaker recognition system based on ICA and VQ
基于独立分量分析和矢量量化的说话人识别

The paper combined the speaker feature extracted by ICA with VQ technique to the ICA-VQ speaker recognition system with high performance. A speaker speech ICA synthesis model was presented to get the speaker speech feature bases with ICA algorithm, and the coefficients of the bases were used in designing codebooks. A novel distortion measurement including energy and a new centroid condition were given. In the simulation experiment of speaker verification, the EER contrast results of VQ with different sizes prove that VQ codebooks are efficient and the DET cures of various methods show that VQ is a more suitable method to speaker recognition with the coefficients of ICA feature bases.