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Post-training for Deepfake Speech Detection
Automatic Speech Recognition & UnderstandingWe introduce a post-training approach that adapts self-supervised learning (SSL) models for deepfake speech detection by bridging the gap between general pre-training and domain-specific fine-tuning.
Wanying Ge +3 more
semanticscholar +1 more source
Forensic deepfake audio detection using segmental speech features
Forensic Science InternationalThis study explores the potential of using acoustic features of segmental speech sounds to detect deepfake audio. These features are highly interpretable because of their close relationship with human articulatory processes and are expected to be more ...
Tianle Yang +3 more
semanticscholar +1 more source
Deepfake Detection and Localization Using Multi-View Inconsistency Measurement
IEEE Transactions on Dependable and Secure ComputingAs deepfake technology advances, forgery detection techniques have evolved beyond simple classification to include fine-grained localization. However, existing deepfake localization methods struggle with with real-world deepfake videos, which are often ...
Bolin Zhang +3 more
semanticscholar +1 more source
Wave-Spectrogram Cross-Modal Aggregation for Audio Deepfake Detection
IEEE International Conference on Acoustics, Speech, and Signal ProcessingRealistic deepfake audio has posed significant security risk. To address this threat, current countermeasures attempt to extract forgery traces from either waveform signals or corresponding spectrograms.
Zehui Jin, Linlong Lang, Biao Leng
semanticscholar +1 more source
Detecting Digital Deception: A CNN-RNN hybrid Approach of Deepfake Detection
2025 International Conference on Pervasive Computational Technologies (ICPCT)Deepfake technology has forced digital deception to create high demand for detection tools. This paper presents an approach for deepfake video detection using Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) architecture that targets
Harshpal Singh +3 more
semanticscholar +1 more source
The Clearing House A Journal of Educational Strategies Issues and Ideas
Deepfake technology, once primarily associated with political disinformation and entertainment, is now being weaponized in schools as a new and insidious form of cyberbullying, posing significant risks to student safety and well-being. Unlike traditional
S. Alexander
semanticscholar +1 more source
Deepfake technology, once primarily associated with political disinformation and entertainment, is now being weaponized in schools as a new and insidious form of cyberbullying, posing significant risks to student safety and well-being. Unlike traditional
S. Alexander
semanticscholar +1 more source
Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory Perception
AAAI Conference on Artificial IntelligenceThe rapid advancement of audio generation technologies has escalated the risks of malicious deepfake audio across speech, sound, singing voice, and music, threatening multimedia security and trust.
Yuankun Xie +7 more
semanticscholar +1 more source
ExDDV: A New Dataset for Explainable Deepfake Detection in Video
IEEE Workshop/Winter Conference on Applications of Computer VisionThe ever growing realism and quality of generated videos makes it increasingly harder for humans to spot deepfake content, who need to rely more and more on automatic deepfake detectors.
Vlad Hondru +3 more
semanticscholar +1 more source
Effects of Disinformation Using Deepfake: The Protective Effect of Media Literacy Education
Cyberpsychology, Behavior, and Social Networking, 2021Se-Hoon Jeong, Yoori Hwang
exaly