Deepfake Speech Detection Through Emotion Recognition: A Semantic Approach
Author:
Affiliation:
1. Politecnico di Milano,Dipartimento di Elettronica, Informazione e Bioingegneria,Milan,Italy
2. Drexel University,Department of Electrical and Computer Engineering,Philadelphia,PA,USA
Funder
Air Force Research Laboratory
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747186.pdf?arnumber=9747186
Reference27 articles.
1. Advances in anti-spoofing: from the perspective of ASVspoof challenges
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3. Time Scaling Detection and Estimation in Audio Recordings
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5. Emotions Don’t Lie: An Audio-Visual Deepfake Detection Method using Affective Cues;mittal,0
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