Audio deepfake detection: A survey

J Yi, C Wang, J Tao, X Zhang, CY Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

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 …

One-class learning towards synthetic voice spoofing detection

Y Zhang, F Jiang, Z Duan - IEEE Signal Processing Letters, 2021 - ieeexplore.ieee.org
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 …

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 …

[PDF][PDF] A light convolutional GRU-RNN deep feature extractor for ASV spoofing detection

A Gomez-Alanis, AM Peinado, JA Gonzalez… - Proc …, 2019 - isca-archive.org
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 …

Spoofing detection in automatic speaker verification systems using DNN classifiers and dynamic acoustic features

H Yu, ZH Tan, Z Ma, R Martin… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
With the development of speech synthesis technology, automatic speaker verification (ASV)
systems have encountered the serious challenge of spoofing attacks. In order to improve the …

Spectral features for synthetic speech detection

D Paul, M Pal, G Saha - IEEE journal of selected topics in signal …, 2017 - ieeexplore.ieee.org
Recent advancements in voice conversion (VC) and speech synthesis research make
speech-based biometric systems highly prone to spoofing attacks. This can provoke an …

Deep features for automatic spoofing detection

Y Qian, N Chen, K Yu - Speech Communication, 2016 - Elsevier
Recently biometric authentication has made progress in areas, such as speaker verification.
However, some evidence shows that the technology is susceptible to malicious spoofing …

End-to-end convolutional neural network-based voice presentation attack detection

H Muckenhirn, M Magimai-Doss… - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
Development of countermeasures to detect attacks performed on speaker verification
systems through presentation of forged or altered speech samples is a challenging and …

[PDF][PDF] Attention-Based Convolutional Neural Network for ASV Spoofing Detection.

H Ling, L Huang, J Huang, B Zhang, P Li - Interspeech, 2021 - isca-archive.org
In recent years, automatic speaker verification (ASV) algorithms have undergone significant
progress. They have been widely deployed in different applications, but the ASV systems …