Fast Speaker Idntification Based on Speaker Metric Space
Speaker identification based on Gaussian mixture model (GMM) has achieved good performance in practical applications.However its processing speed is very slow,which greatly affects its practicability.In this paper,we propose two methods to tackle this problem.Firstly,the GMM likelihood score formula is converted into linear,and further converted to the dot product of the model.Based on these conversions,we define the speaker metric space,and three fast speaker identification algorithms are proposed on the speaker metric space.Secondly,we propose a speaker retrieval method based on the high dimensional indexing technology,to further improve the speed of the speaker identification system.Experiments on the NIST2008 dataset show that the speaker identification method based on the speaker metric space can not only greatly improve the recognition speed,but also improve the performance of the speaker identification system.And the proposed speaker retrieval algorithm does facilitate the speed further.
speaker identification speaker metric space inner productdistance high dimensional indexing speaker retrieval
Feng Yong Guo Jichuan Cao Junhua Zhu Lei
School of Automation, Chongqing University;Chongqing Public Security Bureau Chongqing, China Chongqing Public Security Bureau Chongqing, China Institute of Automation ,Chinese Academy of Sciences Beijing, China
国际会议
重庆
英文
1167-1171
2015-12-19（万方平台首次上网日期，不代表论文的发表时间）