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Replay attack detection by channel frequency response difference enhancement
Author(s): Xingchen Guo; Yibiao Yu
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Paper Abstract

Compared with the original speech, the replay attack speech passes through a complex channel mainly composed of a recording device and a playback device, and the frequency response of the channel causes a obvious change to the high and low frequency bands of the original speech spectrum. This paper proposed a Channel Difference Enhancement Cepstral Coefficient (CDECC) feature that enhances the channel frequency response difference, and detects the replay attack speech by enhancing the spectral difference caused by the channel frequency response. Experiments based on the ASVspoof 2017 Challenge data set show that the proposed method has a significant improvement in detection performance compared to the baseline system using Constant Q Cepstral Coefficients (CQCC), and the equal error rate (EER) is reduced by 18.20% under the same conditions, indicating that the performance of the CDECC feature is more effective than that of CQCC and MFCC features in detecting replay attack speech.

Paper Details

Date Published: 31 July 2019
PDF: 7 pages
Proc. SPIE 11198, Fourth International Workshop on Pattern Recognition, 111980Q (31 July 2019); doi: 10.1117/12.2540965
Show Author Affiliations
Xingchen Guo, Soochow Univ. (China)
Yibiao Yu, Soochow Univ. (China)


Published in SPIE Proceedings Vol. 11198:
Fourth International Workshop on Pattern Recognition
Xudong Jiang; Zhenxiang Chen; Guojian Chen, Editor(s)

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