Ms. Xingchen Guo Profile

Xingchen Guo

at Soochow Univ.

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Proceedings Article | 31 July 2019 Paper

Replay attack detection by channel frequency response difference enhancement

Xingchen Guo, Yibiao Yu

Proceedings Volume 11198, 111980Q (2019) https://doi.org/10.1117/12.2540965

KEYWORDS: Electronic filtering, Speaker recognition, Feature extraction, Nonlinear filtering, Information security, Data modeling

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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.

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