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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaojiang Gu Heming Zhao |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Electronic Information, Soochow University, Suzhou, Jiangsu, China (Xiaojiang Gu; Heming Zhao) |
| Abstract | 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. |
| Starting Page | 757 |
| Ending Page | 760 |
| File Size | 87001 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424458561 |
| e-ISBN | 9781424458585 |
| DOI | 10.1109/ICALIP.2010.5685080 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-11-23 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Support vector machines Training Speech Eigenvalues and eigenfunctions Speaker recognition Kernel Joints |
| Content Type | Text |
| Resource Type | Article |
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