A survey on voice assistant security: Attacks and countermeasures

C Yan, X Ji, K Wang, Q Jiang, Z Jin, W Xu - ACM Computing Surveys, 2022 - dl.acm.org
Voice assistants (VA) have become prevalent on a wide range of personal devices such as
smartphones and smart speakers. As companies build voice assistants with extra …

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 …

Detecting replay attacks using multi-channel audio: A neural network-based method

Y Gong, J Yang, C Poellabauer - IEEE Signal Processing …, 2020 - ieeexplore.ieee.org
With the rapidly growing number of security-sensitive systems that use voice as the primary
input, it becomes increasingly important to address these systems' potential vulnerability to …

Improving the potential of enhanced teager energy cepstral coefficients (etecc) for replay attack detection

AT Patil, R Acharya, HA Patil, RC Guido - Computer Speech & Language, 2022 - Elsevier
In the scope of voice biometrics, the term replay attack,(RA) refers to the dishonest attempt
made by an impostor to spoof someone else's identity by replaying the subject's previously …

Replay spoof detection using energy separation based instantaneous frequency estimation from quadrature and in-phase components

P Gupta, PK Chodingala, HA Patil - Computer Speech & Language, 2023 - Elsevier
Replay attacks in speech are becoming easier to mount with the advent of high quality of
recording and playback devices. This makes these replay attacks a major concern for the …

Effectiveness of energy separation-based instantaneous frequency estimation for cochlear cepstral features for synthetic and voice-converted spoofed speech …

AT Patil, HA Patil, K Khoria - Computer Speech & Language, 2022 - Elsevier
In this article, we propose Cochlear Filter Cepstral Coefficient-Instantaneous Frequency
feature set using Energy Separation Algorithm (CFCCIF-ESA) feature set to detect the …

Energy separation based instantaneous frequency estimation from quadrature and in-phase components for replay spoof detection

P Gupta, PK Chodingala… - 2022 30th European Signal …, 2022 - ieeexplore.ieee.org
For replay Spoof Speech Detection (SSD), features that incorporate auditory transform-
based information as well as Instantaneous Frequency (IF) information have been proposed …

Evolutionary fusion of classifiers trained on linear prediction based features for replay attack detection

B Nasersharif, M Yazdani - Expert Systems, 2021 - Wiley Online Library
Recently, linear prediction analysis (LP) related features have been successfully used for
replay attack detection due to the imperfection in the LP‐based signal produced by …

Teager energy cepstral coefficients for classification of dysarthric speech severity-level

A Kachhi, A Therattil, AT Patil… - 2022 Asia-Pacific …, 2022 - ieeexplore.ieee.org
Dysarthria is a neuro-motor speech impairment that renders speech unintelligibility, which is
generally imperceptible to humans wrt severity-levels. Dysarthric speech classification acts …

Subband Teager Energy Representations for Infant Cry Analysis and Classification

AT Patil, A Kachhi, HA Patil - 2022 30th European Signal …, 2022 - ieeexplore.ieee.org
Due to quasi-periodic sampling of vocal tract system, spectrum formed by high pitch-source
harmonics results in extremely poor spectral resolution for commonly used spectral features …