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《Journal of Chinese Computer Systems》 2019-11
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Short Utterance Speaker Verification Based on Improved I-vector Extraction

WANG Zheng;FU Shan;School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University;  
Aiming at the problem of the performance degradation of the existing i-vector system in the short utterance speaker verification task,an improved Baum-Welch statistic is proposed by analyzing the source of the i-vector estimation uncertainty. The pre-estimated background model parameter information as well as the weighted historical test speech information encountered by the system is included in improved Baum-Welch statistic. The improved statistic is applied to the extraction of the current test speech i-vector. Experiments on different duration test speech show that the performance of the improved i-vector based system is superior to the existing i-vector system,such as the equal error rate( EER) and the minimum detection cost function( min DCF) decreased by 13 ~ 19% and 8 ~ 23%,respectively.
【Fund】: 国家电网公司华东分部科技项目(SA0301503)资助
【CateGory Index】: TN912.3
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1 Li Lin;Wan Lihong;Hong Qingyang;Zhang Jun;Li Ming;School of Information Science and Technology,Xiamen University;SYSU-CMU Joint Institute of Engineering,Sun Yat-Sen University;;Modified-Prior PLDA Based Speaker Recognition System[J];天津大学学报(自然科学与工程技术版);2015-08
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