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...
The objective of this work is to develop a speaker recognition model to ...
Background noise is a well-known factor that deteriorates the accuracy a...
Deep learning has brought impressive progress in the study of both autom...
ASV (automatic speaker verification) systems are intrinsically required ...
The objective of this paper is to combine multiple frame-level features ...
Artefacts that differentiate spoofed from bona-fide utterances can resid...
The attention mechanism has been widely adopted in acoustic scene
classi...
Most speaker verification tasks are studied as an open-set evaluation
sc...
Frequently misclassified pairs of classes that share many common acousti...
A number of studies have successfully developed speaker verification or
...
Most studies on speaker verification systems focus on long-duration
utte...
Most studies on speaker verification systems focus on long-duration
utte...
Recent advances in deep learning have facilitated the design of speaker
...
Recent advances in deep learning have facilitated the design of speaker
...
In this study, we analyze the role of various categories of subsidiary
i...
Large datasets are well-known as a key to the recent advances in deep
le...
An adversarial process between two deep neural networks is a promising
a...
Acoustic scene classification identifies an input segment into one of th...
In this study, we concentrate on replacing the process of extracting
han...
Recently, direct modeling of raw waveforms using deep neural networks ha...
In recent years, speaker verification has been primarily performed using...
Input utterance with short duration is one of the most critical threats ...
In this paper, we propose a replay attack spoofing detection system for
...