Abstract: Spoofing attacks seriously affect the security application of speaker verification system.This paper proposes a speaker verification system with replay attack detection capability,which has a series connection structure of front-end attack detection and back-end speaker verification.In addition,this paper proposes a channel frequency response difference enhancement cepstral coefficient(CDECC) through channel frequency response analysis and speaker personality analysis.The CDECC enhances the low and high frequency bands of the speech signal spectrum by the third-order polynomial nonlinear frequency transform,which can effectively reflect the channel frequency response difference of different input channels and the speech spectrum difference of different speakers.The speaker and text independent replay attack detection experiment based on ASVspoof 2017 2.0 dataset shows that the equal error rate(EER) of CDECC based replay attack detection is 25.03%,which is 10.00% lower than the baseline system.By embedding the replay attack detection module at the front end of the speaker verification,the speaker verification system's false acceptance rate(FAR) is significantly reduced,the system's EER is reduced from 3.32% to 1.01%,and the robustness is effectively improved.

Key words: CDECC, Replay attack detection, Speaker recognition, Speaker verification