| Autor: |
Jian XU, Zhihua JIAN, Jiaqi YU, Yifan JIN, Lin YOU, Yunlu WANG |
| Jazyk: |
čínština |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Dianxin kexue, Vol 37, Pp 91-99 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
1000-0801 |
| DOI: |
10.11959/j.issn.1000-0801.2021108 |
| Popis: |
In view of the fact that the disguised speech detection algorithm based on local binary pattern (LBP) is not effective in detecting the spoofing attack from voice conversion, an anti-spoofing method based on completed local binary pattern (CLBP) was proposed.In this method, the spectrogram of speech signals is generated by the variable Q transformation (VQT) and used to train the true/spoofed speech classifier, so as to perform the detection of disguised speech.The experimental results demonstrate that the proposed anti-spoofing method based on the CLBP in the detection of voice conversion deception is better than the LBP-based algorithm, and when the parameter γ in VQT is set to 50, the detection system based on CLBP and SVM-RBF has the best performance for anti-spoofing the disguise speech. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
