Research on Adaptive Speaker Identification Based on GMM
In this paper, an adaptive speaker identification method combined with the human behavioral trait based on Gaussian mixture model (GMM) is constructed. The method can automatically select different length of speech for different speakers in identification process according to the feedback probability estimation, so it can guarantee identification accuracy without reducing, and to reduce the identification time significantly. This method reduces the identification time through two aspects: speaker acoustic features extraction and recognition probability estimation. Experiment results show that for 50 speakers identification, the identification time can reduce 4 times and the identification accuracy can reach 97％. Especially, the new method is fit for large population of speaker identification. From the analysis of this text, we can see that identification time will be reduced more substantially.
speaker identification GMM adaptation MFCC LPC
Yuhuan Zhou Jinming Wang Xiongwei Zhang
PLA University of Science and Technology, Nanjing, China, 210007
国际会议
重庆
英文
812-814
2009-12-25（万方平台首次上网日期，不代表论文的发表时间）