Bibliographic Details
| Title: |
Speaker Verification in Noisy Environment Using Missing Feature Approach. |
| Authors: |
Ribas, Dayana, Villalba, Jesús A., Lleida, Eduardo, Calvo, José R. |
| Source: |
Progress in Pattern Recognition, Image Analysis, Computer Vision & Applications (9783642166860); 2010, p220-227, 8p |
| Abstract: |
In order to handle speech signals corrupted by noise in speaker verification and provide robustness to systems, this paper evaluates the use of missing feature (MF) approach with a novel combination of techniques. A mask estimation based on spectral subtraction is used to determine the reliability of spectral components in a speech signal corrupted by noise. A cluster based reconstruction technique is used to remake the damaged spectrum. The verification performance was evaluated through a speaker verification experiment with signals corrupted by white noise under different signal to noise ratios. The results were promising since they reflected a relevant increase of speaker verification performance, applying MF approach with this combination of techniques. [ABSTRACT FROM AUTHOR] |
|
Copyright of Progress in Pattern Recognition, Image Analysis, Computer Vision & Applications (9783642166860) is the property of Springer Nature / Books and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |
