Battling voice spoofing: a review, comparative analysis, and generalizability evaluation of state-of-the-art voice spoofing counter measures

A Khan, KM Malik, J Ryan, M Saravanan - Artificial Intelligence Review, 2023 - Springer
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 …

The attacker's perspective on automatic speaker verification: An overview

RK Das, X Tian, T Kinnunen, H Li - arxiv preprint arxiv:2004.08849, 2020 - arxiv.org
Security of automatic speaker verification (ASV) systems is compromised by various
spoofing attacks. While many types of non-proactive attacks (and their defenses) have been …

ASVspoof 2021: accelerating progress in spoofed and deepfake speech detection

J Yamagishi, X Wang, M Todisco… - ASVspoof 2021 …, 2021 - inria.hal.science
ASVspoof 2021 is the forth edition in the series of biannual challenges which aim to promote
the study of spoofing and the design of countermeasures to protect automatic speaker …

Personal voice assistant security and privacy—a survey

P Cheng, U Roedig - Proceedings of the IEEE, 2022 - ieeexplore.ieee.org
Personal voice assistants (PVAs) are increasingly used as interfaces to digital environments.
Voice commands are used to interact with phones, smart homes, or cars. In the United …

ASSERT: Anti-spoofing with squeeze-excitation and residual networks

CI Lai, N Chen, J Villalba, N Dehak - arxiv preprint arxiv:1904.01120, 2019 - arxiv.org
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 …

[HTML][HTML] Voice spoofing detection for multiclass attack classification using deep learning

J Boyd, M Fahim, O Olukoya - Machine Learning With Applications, 2023 - Elsevier
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 …

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 …

Advances in anti-spoofing: from the perspective of ASVspoof challenges

MR Kamble, HB Sailor, HA Patil, H Li - APSIPA Transactions on …, 2020 - cambridge.org
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 …

Void: A fast and light voice liveness detection system

ME Ahmed, IY Kwak, JH Huh, I Kim, T Oh… - 29th USENIX Security …, 2020 - usenix.org
Due to the open nature of voice assistants' input channels, adversaries could easily record
people's use of voice commands, and replay them to spoof voice assistants. To mitigate …

Attentive filtering networks for audio replay attack detection

CI Lai, A Abad, K Richmond… - ICASSP 2019-2019 …, 2019 - ieeexplore.ieee.org
An attacker may use a variety of techniques to fool an automatic speaker verification system
into accepting them as a genuine user. Anti-spoofing methods meanwhile aim to make the …