Deepfakes generation and detection: State-of-the-art, open challenges, countermeasures, and way forward
Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …
modern tools such as Tensorflow or Keras, and open-source trained models, along with …
Add 2022: the first audio deep synthesis detection challenge
Audio deepfake detection is an emerging topic, which was included in the ASVspoof 2021.
However, the recent shared tasks have not covered many real-life and challenging …
However, the recent shared tasks have not covered many real-life and challenging …
One-class learning towards synthetic voice spoofing detection
Human voices can be used to authenticate the identity of the speaker, but the automatic
speaker verification (ASV) systems are vulnerable to voice spoofing attacks, such as …
speaker verification (ASV) systems are vulnerable to voice spoofing attacks, such as …
A comparative study on recent neural spoofing countermeasures for synthetic speech detection
X Wang, J Yamagishi - arXiv preprint arXiv:2103.11326, 2021 - arxiv.org
A great deal of recent research effort on speech spoofing countermeasures has been
invested into back-end neural networks and training criteria. We contribute to this effort with …
invested into back-end neural networks and training criteria. We contribute to this effort with …
End-to-end spectro-temporal graph attention networks for speaker verification anti-spoofing and speech deepfake detection
Artefacts that serve to distinguish bona fide speech from spoofed or deepfake speech are
known to reside in specific subbands and temporal segments. Various approaches can be …
known to reside in specific subbands and temporal segments. Various approaches can be …
A literature review and perspectives in deepfakes: generation, detection, and applications
D Dagar, DK Vishwakarma - International journal of multimedia information …, 2022 - Springer
In the last few years, with the advancement of deep learning methods, especially Generative
Adversarial Networks (GANs) and Variational Auto-encoders (VAEs), fabricated content has …
Adversarial Networks (GANs) and Variational Auto-encoders (VAEs), fabricated content has …
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 …
Add 2023: the second audio deepfake detection challenge
Audio deepfake detection is an emerging topic in the artificial intelligence community. The
second Audio Deepfake Detection Challenge (ADD 2023) aims to spur researchers around …
second Audio Deepfake Detection Challenge (ADD 2023) aims to spur researchers around …
Channel-wise gated res2net: Towards robust detection of synthetic speech attacks
Existing approaches for anti-spoofing in automatic speaker verification (ASV) still lack
generalizability to unseen attacks. The Res2Net approach designs a residual-like …
generalizability to unseen attacks. The Res2Net approach designs a residual-like …
Graph attention networks for anti-spoofing
The cues needed to detect spoofing attacks against automatic speaker verification are often
located in specific spectral sub-bands or temporal segments. Previous works show the …
located in specific spectral sub-bands or temporal segments. Previous works show the …