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| Content Provider | Springer Nature Link |
|---|---|
| Author | Vuppala, Anil Kumar Rao, K. Sreenivasa |
| Copyright Year | 2012 |
| Abstract | In this paper, we propose a method for robust detection of the vowel onset points (VOPs) from noisy speech. The proposed VOP detection method exploits the spectral energy at formant frequencies of the speech segments present in glottal closure region. In this work, formants are extracted by using group delay function, and glottal closure instants are extracted by using zero frequency filter based method. Performance of the proposed VOP detection method is compared with the existing method, which uses the combination of evidence from excitation source, spectral peaks energy and modulation spectrum. Speech data from TIMIT database and noise samples from NOISEX database are used for analyzing the performance of the VOP detection methods. Significant improvement in the performance of VOP detection is observed by using proposed method compared to existing method. |
| Starting Page | 229 |
| Ending Page | 235 |
| Page Count | 7 |
| File Format | |
| ISSN | 13812416 |
| Journal | International Journal of Speech Technology |
| Volume Number | 16 |
| Issue Number | 2 |
| e-ISSN | 15728110 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2012-10-23 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Vowel onset point (VOP) Formant frequencies Glottal closure region Excitation source Spectral peaks Modulation spectrum Signal, Image and Speech Processing Social Sciences Artificial Intelligence (incl. Robotics) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Human-Computer Interaction Computer Vision and Pattern Recognition Software Linguistics and Language |
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