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 …
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 …
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 …
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 …
Towards end-to-end synthetic speech detection
The constant Q transform (CQT) has been shown to be one of the most effective speech
signal pre-transforms to facilitate synthetic speech detection, followed by either hand-crafted …
signal pre-transforms to facilitate synthetic speech detection, followed by either hand-crafted …
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 …
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 …
[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 …
Light convolutional neural network with feature genuinization for detection of synthetic speech attacks
Modern text-to-speech (TTS) and voice conversion (VC) systems produce natural sounding
speech that questions the security of automatic speaker verification (ASV). This makes …
speech that questions the security of automatic speaker verification (ASV). This makes …