Introduction to voice presentation attack detection and recent advances

M Sahidullah, H Delgado, M Todisco, A Nautsch… - Handbook of Biometric …, 2023 - Springer
Over the past few years, significant progress has been made in the field of presentation
attack detection (PAD) for automatic speaker recognition (ASV). This includes the …

ASVspoof: the automatic speaker verification spoofing and countermeasures challenge

Z Wu, J Yamagishi, T Kinnunen… - IEEE Journal of …, 2017 - ieeexplore.ieee.org
Concerns regarding the vulnerability of automatic speaker verification (ASV) technology
against spoofing can undermine confidence in its reliability and form a barrier to exploitation …

The vicomtech audio deepfake detection system based on wav2vec2 for the 2022 add challenge

JM Martín-Doñas, A Álvarez - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
This paper describes our submitted systems to the 2022 ADD challenge withing the tracks 1
and 2. Our approach is based on the combination of a pre-trained wav2vec2 feature …

CFAD: A Chinese dataset for fake audio detection

H Ma, J Yi, C Wang, X Yan, J Tao, T Wang… - Speech …, 2024 - Elsevier
Fake audio detection is a growing concern and some relevant datasets have been designed
for research. However, there is no standard public Chinese dataset under complex …

Significance of subband features for synthetic speech detection

J Yang, RK Das, H Li - IEEE Transactions on Information …, 2019 - ieeexplore.ieee.org
In text-to-speech or voice conversion based synthetic speech detection, it is a common
practice that spectral information over the entire frequency band is used for feature …

A gated recurrent convolutional neural network for robust spoofing detection

A Gomez-Alanis, AM Peinado… - … on Audio, Speech …, 2019 - ieeexplore.ieee.org
Automatic speaker verification (ASV) systems are exposed to spoofing attacks which may
compromise their security. While anti-spoofing techniques have been mainly studied for …

Long-term high frequency features for synthetic speech detection

J Yang, RK Das - Digital Signal Processing, 2020 - Elsevier
Over the recent years, detection of spoofing attack has become pivotal for automatic speaker
verification systems. The long-term information has been found to be useful for the detection …

Noise robust automatic speaker verification systems: review and analysis

S Joshi, M Dua - Telecommunication Systems, 2024 - Springer
Like any other biometric systems, Automatic Speaker Verification (ASV) systems are also
vulnerable to the spoofing attacks. Hence, it is important to develop the countermeasures in …

Robust voice liveness detection and speaker verification using throat microphones

M Sahidullah, DAL Thomsen… - … on Audio, Speech …, 2017 - ieeexplore.ieee.org
While having a wide range of applications, automatic speaker verification (ASV) systems are
vulnerable to spoofing attacks, in particular, replay attacks that are effective and easy to …

[PDF][PDF] A deep identity representation for noise robust spoofing detection

A Gomez-Alanis, AM Peinado, JA Gonzalez… - Proc …, 2018 - academia.edu
The issue of the spoofing attacks which may affect automatic speaker verification systems
(ASVs) has recently received an increased attention, so that a number of countermeasures …