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 …
Battling voice spoofing: a review, comparative analysis, and generalizability evaluation of state-of-the-art voice spoofing counter measures
With the advent of automated speaker verification (ASV) systems comes an equal and
opposite development: malicious actors may seek to use voice spoofing attacks to fool those …
opposite development: malicious actors may seek to use voice spoofing attacks to fool those …
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 …
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 …
Investigating self-supervised front ends for speech spoofing countermeasures
X Wang, J Yamagishi - arXiv preprint arXiv:2111.07725, 2021 - arxiv.org
Self-supervised speech model is a rapid progressing research topic, and many pre-trained
models have been released and used in various down stream tasks. For speech anti …
models have been released and used in various down stream tasks. For speech anti …
[HTML][HTML] Voice spoofing detection for multiclass attack classification using deep learning
Voice biometric authentication is increasingly gaining adoption in organisations with high-
volume identity verifications and for providing access to physical and other virtual spaces. In …
volume identity verifications and for providing access to physical and other virtual spaces. In …
Deepfake speech detection through emotion recognition: a semantic approach
In recent years, audio and video deepfake technology has advanced relentlessly, severely
impacting people's reputation and reliability. Several factors have facilitated the growing …
impacting people's reputation and reliability. Several factors have facilitated the growing …
Do deepfakes feel emotions? A semantic approach to detecting deepfakes via emotional inconsistencies
Recent advances in deep learning and computer vision have spawned a new class of media
forgeries known as deepfakes, which typically consist of artificially generated human faces …
forgeries known as deepfakes, which typically consist of artificially generated human faces …
Synthetic speech detection through short-term and long-term prediction traces
Several methods for synthetic audio speech generation have been developed in the
literature through the years. With the great technological advances brought by deep …
literature through the years. With the great technological advances brought by deep …