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...
Automatic recognition of disordered and elderly speech remains a highly
...
Automatic recognition of disordered speech remains a highly challenging ...
State-of-the-art neural network language models (NNLMs) represented by l...
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...
Automatic recognition of dysarthric and elderly speech highly challengin...
Articulatory features are inherently invariant to acoustic signal distor...
Despite the rapid progress of automatic speech recognition (ASR) technol...
Despite the rapid progress of automatic speech recognition (ASR) technol...
Disordered speech recognition is a highly challenging task. The underlyi...
Automatic recognition of disordered speech remains a highly challenging ...
State-of-the-art automatic speech recognition (ASR) system development i...
Automatic recognition of disordered speech remains a highly challenging ...
State-of-the-art neural language models (LMs) represented by Transformer...
Deep neural networks (DNNs) based automatic speech recognition (ASR) sys...