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 …
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 …
Aasist: Audio anti-spoofing using integrated spectro-temporal graph attention networks
Artefacts that differentiate spoofed from bona-fide utterances can reside in specific temporal
or spectral intervals. Their reliable detection usually depends upon computationally …
or spectral intervals. Their reliable detection usually depends upon computationally …
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 …
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation
The performance of spoofing countermeasure systems depends fundamentally upon the use
of sufficiently representative training data. With this usually being limited, current solutions …
of sufficiently representative training data. With this usually being limited, current solutions …
TweepFake: About detecting deepfake tweets
The recent advances in language modeling significantly improved the generative
capabilities of deep neural models: in 2019 OpenAI released GPT-2, a pre-trained language …
capabilities of deep neural models: in 2019 OpenAI released GPT-2, a pre-trained language …
A comparative study on recent neural spoofing countermeasures for synthetic speech detection
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 …
ASVspoof 2019: spoofing countermeasures for the detection of synthesized, converted and replayed speech
The ASVspoof initiative was conceived to spearhead research in anti-spoofing for automatic
speaker verification (ASV). This paper describes the third in a series of bi-annual …
speaker verification (ASV). This paper describes the third in a series of bi-annual …