HIGHLIGHTS
- What: This paper proposes an approach for detection in voice biometrics using the LA dataset The model is trained and validated on subsets representing one type of attack and evaluated on a subset containing more advanced types of attacks demonstrating the model`s ability to generalize to more complex attack scenarios. In , the main focus was on replay attacks. The authors propose capsule-based and TCN-based models to detect audio spoofing.
- Who: gerry from the Department of Mathematical Cybernetics and Information Technologies, Moscow Technical University of Communications and Informatics, Russia have published the Article . . .
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