Presentation attack (spoofing) detection (PAD) typically operates alongs...
In this paper, we study the impact of the ageing on modern deep speaker
...
Shortcut learning, or `Clever Hans effect` refers to situations where a
...
Audio anti-spoofing for automatic speaker verification aims to safeguard...
This study aims to develop a single integrated spoofing-aware speaker
ve...
We address speaker-aware anti-spoofing, where prior knowledge of the tar...
Deep speaker models yield low error rates in speaker verification.
Nonet...
Benchmarking initiatives support the meaningful comparison of competing
...
Playing games with cheaters is not fun, and in a multi-billion-dollar vi...
We address speaker comparison by listening in a game-like environment,
h...
Speaker recognition on household devices, such as smart speakers, featur...
Deep learning has brought impressive progress in the study of both autom...
Due to a constantly increasing amount of speech data that is stored in
d...
In this paper, we initiate the concern of enhancing the spoofing robustn...
In this study, we focus on nonlinear compression methods in spectral fea...
ASV (automatic speaker verification) systems are intrinsically required ...
As automatic speaker verification (ASV) systems are vulnerable to spoofi...
Multi-taper estimators provide low-variance power spectrum estimates tha...
VoxCeleb datasets are widely used in speaker recognition studies. Our wo...
After their introduction to robust speech recognition, power normalized
...
We address far-field speaker verification with deep neural network (DNN)...
ASVspoof 2021 is the forth edition in the series of bi-annual challenges...
The automatic speaker verification spoofing and countermeasures (ASVspoo...
For many decades, research in speech technologies has focused upon impro...
Whether it be for results summarization, or the analysis of classifier
f...
Voice anti-spoofing aims at classifying a given speech input either as a...
We propose a learnable mel-frequency cepstral coefficient (MFCC) fronten...
The ASVspoof initiative was conceived to spearhead research in anti-spoo...
By studying the underlying policies of decision-making agents, we can le...
The Voice Conversion Challenge 2020 is the third edition under its flags...
The voice conversion challenge is a bi-annual scientific event held to
c...
Modern automatic speaker verification (ASV) relies heavily on machine
le...
Automatic speaker verification (ASV) vendors and corpus providers would ...
Modern automatic speaker verification relies largely on deep neural netw...
In this work, we present the system description of the UIAI entry for th...
Recent years have seen growing efforts to develop spoofing countermeasur...
Security of automatic speaker verification (ASV) systems is compromised ...
The spoofing countermeasure (CM) systems in automatic speaker verificati...
Automatic speaker verification (ASV) is one of the most natural and
conv...
How secure automatic speaker verification (ASV) technology is? More
conc...
In this work, we simulate a scenario, where a publicly available ASV sys...
The I4U consortium was established to facilitate a joint entry to NIST
s...
ASVspoof, now in its third edition, is a series of community-led challen...
Over the past few years significant progress has been made in the field ...
We consider technology-assisted mimicry attacks in the context of automa...
The popularization of science can often be disregarded by scientists as ...
Automatic speaker verification (ASV) systems use a playback detector to
...
The fundamental frequency (F0) represents pitch in speech that determine...
The fundamental frequency (F0) contour of speech is a key aspect to repr...
The front-end factor analysis (FEFA), an extension of principal componen...