关键词: 说话人识别, 矢量量化技术（VQ）, 分布特征, 公共码书, 双序列比对

Abstract: The concept of speaker distribution feature around common codebook is defined，and a speaker recognition algorithm is proposed based on it.A common codebook is generated via the training data from all the reference speakers，which is used to classify speech feature space，and the model of each reference speaker is derived by the statistics of speaker’s distribution feature measured by the common code book.In the recognition，pairwise sequence alignment is introduced to measure the distortion between the test speech distribution feature sequence and each reference model，and speaker recognition is realized by distortion compare.Experimental results show that it can save calculation and storage resource while shows better performance over VQ.

Key words: speaker recognition, Vector Quantization（VQ）, distribution feature, common codebook, pairwise sequence alignment