Accurate recognition of cocktail party speech containing overlapping
spe...
Automatic recognition of disordered and elderly speech remains highly
ch...
Rich sources of variability in natural speech present significant challe...
A key challenge in dysarthric speech recognition is the speaker-level
di...
Speaker adaptation techniques provide a powerful solution to customise
a...
Automatic recognition of disordered speech remains a highly challenging ...
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating
p...
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating
p...
A key challenge for automatic speech recognition (ASR) systems is to mod...
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating
p...
Fundamental modelling differences between hybrid and end-to-end (E2E)
au...
Articulatory features are inherently invariant to acoustic signal distor...
Despite the rapid progress of automatic speech recognition (ASR) technol...
Articulatory features are inherently invariant to acoustic signal distor...
Despite the rapid progress of automatic speech recognition (ASR) technol...
Non-autoregressive (NAR) models simultaneously generate multiple outputs...
Self-supervised pretraining on speech data has achieved a lot of progres...
Non-autoregressive (NAR) modeling has gained more and more attention in
...
In this work, we explore the dependencies between speaker recognition an...