Device Features Based on Linear Transformation With Parallel Training Data for Replay Speech Detection

Author:

Xu Longting1ORCID,Yang Jichen2ORCID,You Chang Huai3ORCID,Qian Xinyuan4ORCID,Huang Daiyu1ORCID

Affiliation:

1. College of Information Science and Technology, Donghua University, Shanghai, China

2. School of Cyber Security, Guangdong Polytechnic Normal University, Guangzhou, China

3. Institute for Infocomm Research, A*STAR, Singapore

4. School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Reference65 articles.

1. Low frequency frame-wise normalization over constant-Q transform for playback speech detection

2. Exemplar-based sparse representation with residual compensation for voice conversion;wu;IEEE/ACM Trans Audio Speech Lang Process,2014

3. Known-unknown data augmentation strategies for detection of logical acces, physical access and speech deepfake attacks: ASVspoof 2021;das;Proc ISCA 2021 Ed ASVspoof,0

4. Parametric Voice Conversion Based on Bilinear Frequency Warping Plus Amplitude Scaling

5. Deep Residual Learning for Image Recognition

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