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 …
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 …
Constant Q cepstral coefficients: A spoofing countermeasure for automatic speaker verification
Recent evaluations such as ASVspoof 2015 and the similarly-named AVspoof have
stimulated a great deal of progress to develop spoofing countermeasures for automatic …
stimulated a great deal of progress to develop spoofing countermeasures for automatic …
ASVspoof: the automatic speaker verification spoofing and countermeasures challenge
Concerns regarding the vulnerability of automatic speaker verification (ASV) technology
against spoofing can undermine confidence in its reliability and form a barrier to exploitation …
against spoofing can undermine confidence in its reliability and form a barrier to exploitation …
[PDF][PDF] Deep residual neural networks for audio spoofing detection
The state-of-art models for speech synthesis and voice conversion are capable of
generating synthetic speech that is perceptually indistinguishable from bonafide human …
generating synthetic speech that is perceptually indistinguishable from bonafide human …
Statistical parametric speech synthesis incorporating generative adversarial networks
Y Saito, S Takamichi… - IEEE/ACM Transactions on …, 2017 - ieeexplore.ieee.org
A method for statistical parametric speech synthesis incorporating generative adversarial
networks (GANs) is proposed. Although powerful deep neural networks techniques can be …
networks (GANs) is proposed. Although powerful deep neural networks techniques can be …
ASSERT: Anti-spoofing with squeeze-excitation and residual networks
We present JHU's system submission to the ASVspoof 2019 Challenge: Anti-Spoofing with
Squeeze-Excitation and Residual neTworks (ASSERT). Anti-spoofing has gathered more …
Squeeze-Excitation and Residual neTworks (ASSERT). Anti-spoofing has gathered more …
[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 …
Advances in anti-spoofing: from the perspective of ASVspoof challenges
In recent years, automatic speaker verification (ASV) is used extensively for voice biometrics.
This leads to an increased interest to secure these voice biometric systems for real-world …
This leads to an increased interest to secure these voice biometric systems for real-world …
[PDF][PDF] A light convolutional GRU-RNN deep feature extractor for ASV spoofing detection
The aim of this work is to develop a single anti-spoofing system which can be applied to
effectively detect all the types of spoofing attacks considered in the ASVspoof 2019 …
effectively detect all the types of spoofing attacks considered in the ASVspoof 2019 …