[HTML][HTML] DNN controlled adaptive front-end for replay attack detection systems

B Wickramasinghe, E Ambikairajah, V Sethu… - Speech …, 2023 - Elsevier
Develo** robust countermeasures to protect automatic speaker verification systems
against replay spoofing attacks is a well-recognized challenge. Current approaches to …

[PDF][PDF] Combining amplitude and phase-based features for speaker verification with short duration utterances.

MJ Alam, P Kenny, T Stafylakis - Interspeech, 2015 - researchgate.net
Due to the increasing use of fusion in speaker recognition systems, one trend of current
research activity focuses on new features that capture complementary information to the …

[PDF][PDF] Biologically Inspired Adaptive-Q Filterbanks for Replay Spoofing Attack Detection.

B Wickramasinghe, E Ambikairajah, J Epps - INTERSPEECH, 2019 - isca-archive.org
Abstract Development of generalizable countermeasures for replay spoofing attacks on
Automatic Speaker Verification (ASV) systems is still an open problem. Many …

Konuşmacının Yaş ve Cinsiyetine Göre Sınıflandırılmasında DVM Çekirdeğinin Etkisi

E Yücesoy - El-Cezeri, 2020 - dergipark.org.tr
Bu çalışmada kısa süreli telefon konuşmalarından konuşmacının yaş ve cinsiyet grubunun
otomatik olarak belirlemesi konusu ele alınmıştır. Çalışmada Mel Frekansı Kepstrum …

A Novel Self-adaptive Voice Activity Detector Based on Robust Logistic

M Bengherabi, M Fedila… - Proceedings of the 5th …, 2024 - books.google.com
Abstract Voice Activity Detection (VAD) is a fundamental preprocessing component in
advanced speaker verification systems. Robustness against noise and real-time operation …

Using clustering comparison measures for speaker recognition

JMK Kua, J Epps, M Nosratighods… - … , Speech and Signal …, 2011 - ieeexplore.ieee.org
Recent results seem to cast some doubt over the assumption that improvements in fused
recognition accuracy for speaker recognition systems based on different acoustic features …

Improving speaker verification robustness by front-end diversity and score level fusion

N Asbai, M Bengherabi, A Amrouche… - … Conference on Signal …, 2013 - ieeexplore.ieee.org
In this paper, we studied the impact of the mismatch existing between training and testing
data due to the presence of an additive noise on the performance of speaker verification …

Effect of the front-end processing on speaker verification performance using PCA and scores level fusion

N Asbai, M Bengherabi, F Harizi… - … Conference on E-Business …, 2013 - Springer
This paper evaluates the impact of low-level features on speaker verification performance,
with an emphasis on the recently proposed MFCC variant based on asymmetric tapers …

[PDF][PDF] Replay detection in voice biometrics: an investigation of adaptive and non-adaptive front-ends

B Wickramasinghe - 2021 - unsworks.unsw.edu.au
Among various physiological and behavioural traits, speech has gained popularity as an
effective mode of biometric authentication. Even though they are gaining popularity …

A Novel Self-adaptive Voice Activity Detector Based on Robust Logistic Regression

M Bengherabi, M Fedila, A Guessoum - International Conference on …, 2022 - Springer
Abstract Voice Activity Detection (VAD) is a fundamental preprocessing component in
advanced speaker verification systems. Robustness against noise and real-time operation …