The task of speaker change detection (SCD), which detects points where
s...
Our focus lies in developing an online speaker diarisation framework whi...
Speaker embedding extractors significantly influence the performance of
...
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...
Speaker verification models that directly operate upon raw waveforms are...
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...
In this work, we present a novel audio-visual dataset for active speaker...
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...
The objective of this work is speaker diarisation of speech recordings '...
The VoxCeleb Speaker Recognition Challenge (VoxSRC) at Interspeech 2020
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This report describes our submission to the VoxCeleb Speaker Recognition...
The goal of this work is to synchronise audio and video of a talking fac...
The objective of this paper is 'open-set' speaker recognition of unseen
...
The goal of this work is to determine 'who spoke when' in real-world
mee...