We propose a decoder-only language model, VoxtLM, that can perform
four ...
The task of speaker change detection (SCD), which detects points where
s...
Audio anti-spoofing for automatic speaker verification aims to safeguard...
This study aims to develop a single integrated spoofing-aware speaker
ve...
Our focus lies in developing an online speaker diarisation framework whi...
Speaker embedding extractors significantly influence the performance of
...
The goal of this paper is to train speaker embeddings that are robust to...
The objective of this work is to develop a speaker recognition model to ...
Deep learning has brought impressive progress in the study of both autom...
Recent state-of-the-art speaker verification architectures adopt multi-s...
Speaker verification models that directly operate upon raw waveforms are...
The performance of spoofing countermeasure systems depends fundamentally...
ASV (automatic speaker verification) systems are intrinsically required ...
The objective of this work is to train noise-robust speaker embeddings f...
The objective of this work is effective speaker diarisation using multi-...
Artefacts that differentiate spoofed from bona-fide utterances can resid...
Artefacts that serve to distinguish bona fide speech from spoofed or dee...
The attention mechanism has been widely adopted in acoustic scene
classi...
Most speaker verification tasks are studied as an open-set evaluation
sc...
The cues needed to detect spoofing attacks against automatic speaker
ver...
The goal of this paper is to adapt speaker embeddings for solving the pr...
In this work, we propose an overlapped speech detection system trained a...
This work presents a novel back-end framework for speaker verification u...
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
...