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 …

Automatic speaker verification systems and spoof detection techniques: review and analysis

A Mittal, M Dua - International Journal of Speech Technology, 2022 - Springer
Automatic speaker verification (ASV) systems are enhanced enough, that industry is
attracted to use them practically in security systems. However, vulnerability of these systems …

The ASVspoof 2017 challenge: Assessing the limits of replay spoofing attack detection

T Kinnunen, M Sahidullah, H Delgado… - Interspeech …, 2017 - research.ed.ac.uk
The ASVspoof initiative was created to promote the development of countermeasures which
aim to protect automatic speaker verification (ASV) from spoofing attacks. The first …

Constant Q cepstral coefficients: A spoofing countermeasure for automatic speaker verification

M Todisco, H Delgado, N Evans - Computer Speech & Language, 2017 - Elsevier
Recent evaluations such as ASVspoof 2015 and the similarly-named AVspoof have
stimulated a great deal of progress to develop spoofing countermeasures for automatic …

Wavefake: A data set to facilitate audio deepfake detection

J Frank, L Schönherr - arxiv preprint arxiv:2111.02813, 2021 - arxiv.org
Deep generative modeling has the potential to cause significant harm to society.
Recognizing this threat, a magnitude of research into detecting so-called" Deepfakes" has …

[PDF][PDF] Audio Replay Attack Detection Using High-Frequency Features.

M Witkowski, S Kacprzak, P Zelasko, K Kowalczyk… - Interspeech, 2017 - researchgate.net
This paper presents our contribution to the ASVspoof 2017 Challenge. It addresses a replay
spoofing attack against a speaker recognition system by detecting that the analysed signal …

ASVspoof 2017 Version 2.0: meta-data analysis and baseline enhancements

H Delgado, M Todisco, M Sahidullah… - The Speaker and …, 2018 - research.ed.ac.uk
The now-acknowledged vulnerabilities of automatic speaker verification (ASV) technology to
spoofing attacks have spawned interests to develop so-called spoofing countermeasures …

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 …

[PDF][PDF] Experimental analysis of features for replay attack detection-results on the ASVspoof 2017 Challenge.

R Font, JM Espín, MJ Cano - Interspeech, 2017 - isca-archive.org
This paper presents an experimental comparison of different features for the detection of
replay spoofing attacks in Automatic Speaker Verification systems. We evaluate the …

[PDF][PDF] Replay Attack Detection Using DNN for Channel Discrimination.

P Nagarsheth, E Khoury, K Patil, M Garland - interspeech, 2017 - isca-archive.org
Voice is projected to be the next input interface for portable devices. The increased use of
audio interfaces can be mainly attributed to the success of speech and speaker recognition …