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Deepfake generation and detection: Case study and challenges
In smart communities, social media allowed users easy access to multimedia content. With
recent advancements in computer vision and natural language processing, machine …
recent advancements in computer vision and natural language processing, machine …
[HTML][HTML] A review of modern audio deepfake detection methods: challenges and future directions
A number of AI-generated tools are used today to clone human voices, leading to a new
technology known as Audio Deepfakes (ADs). Despite being introduced to enhance human …
technology known as Audio Deepfakes (ADs). Despite being introduced to enhance human …
Does audio deepfake detection generalize?
Current text-to-speech algorithms produce realistic fakes of human voices, making deepfake
detection a much-needed area of research. While researchers have presented various …
detection a much-needed area of research. While researchers have presented various …
Joint audio-visual deepfake detection
Abstract Deepfakes (" deep learning"+" fake") are synthetically-generated videos from AI
algorithms. While they could be entertaining, they could also be misused for falsifying …
algorithms. While they could be entertaining, they could also be misused for falsifying …
Audio deepfake detection: A survey
Audio deepfake detection is an emerging active topic. A growing number of literatures have
aimed to study deepfake detection algorithms and achieved effective performance, the …
aimed to study deepfake detection algorithms and achieved effective performance, the …
Audio deepfakes: A survey
A deepfake is content or material that is synthetically generated or manipulated using
artificial intelligence (AI) methods, to be passed off as real and can include audio, video …
artificial intelligence (AI) methods, to be passed off as real and can include audio, video …
Replay and synthetic speech detection with res2net architecture
Existing approaches for replay and synthetic speech detection still lack generalizability to
unseen spoofing attacks. This work proposes to leverage a novel model structure, so-called …
unseen spoofing attacks. This work proposes to leverage a novel model structure, so-called …
Recurrent convolutional structures for audio spoof and video deepfake detection
Deepfakes, or artificially generated audiovisual renderings, can be used to defame a public
figure or influence public opinion. With the recent discovery of generative adversarial …
figure or influence public opinion. With the recent discovery of generative adversarial …
A survey on the detection and impacts of deepfakes in visual, audio, and textual formats
In the rapidly evolving digital landscape, the generation of fake visual, audio, and textual
content poses a significant threat to the trust of society, political stability, and integrity of …
content poses a significant threat to the trust of society, political stability, and integrity of …
[PDF][PDF] The effect of silence and dual-band fusion in anti-spoofing system
Y Zhang12, W Wang12, P Zhang12 - Proc. Interspeech, 2021 - isca-archive.org
The current neural network based anti-spoofing systems have poor robustness. Their
performance degrades further after voice activity detection (VAD) performed, making it …
performance degrades further after voice activity detection (VAD) performed, making it …