Whispered Speech Speaker Identification based on SVM and FA
This paper presents Chinese whispered speech speaker identification in the channel mismatch circumstance. In this paper, a simple factor analysis is used to deal with channel variability problem. We put the speaker factor vector to input SVM, similarly the speaker’s new feature. It’s found that this integration has achieved improvement to some extent. Then two channel compensation techniques, WCCN and LDA, are combined with SVM-FA to remove the channel informatin. It proves that the average recognition rate of 8 channels is about 92％ in the best condtion. It also has a significant speedup in training and testing process.
Xiaojiang Gu Heming Zhao
School of Electronic Information, Soochow University, Suzhou, Jiangsu, China
国际会议
上海
英文
757-760
2010-10-20（万方平台首次上网日期，不代表论文的发表时间）