| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10370355 | Speech Communication | 2013 | 14 Pages |
Abstract
⺠Tutorial style introduction to sparse representation classification (SRC) and its applications. ⺠Investigation on SRC for speaker verification using i-vector from the total variability model. ⺠Comparative study of SRC systems with different sparseness methods and dictionary composition. ⺠Development of SRC background dataset selection based on column vector frequency was proposed. ⺠Results show i-SRC achieves the best performance on NIST 2010 SRE.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Jia Min Karen Kua, Julien Epps, Eliathamby Ambikairajah,