3D human generation from 2D images has achieved remarkable progress thro...
Automatic recognition of disordered and elderly speech remains highly
ch...
Neural Radiance Fields (NeRF) has demonstrated remarkable 3D reconstruct...
Existing Human NeRF methods for reconstructing 3D humans typically rely ...
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating
p...
State-of-the-art neural network language models (NNLMs) represented by l...
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating
p...
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating
p...
State of the art time automatic speech recognition (ASR) systems are bec...
Fundamental modelling differences between hybrid and end-to-end (E2E)
au...
Deep neural networks have brought significant advancements to speech emo...
Efficient performance estimation of architectures drawn from large searc...
Articulatory features are inherently invariant to acoustic signal distor...
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...
State-of-the-art language models (LMs) represented by long-short term me...
State-of-the-art neural language models represented by Transformers are
...
The high memory consumption and computational costs of Recurrent neural
...
Automated machine learning (AutoML) usually involves several crucial
com...
State-of-the-art neural language models (LMs) represented by Transformer...
Controversy exists on whether differentiable neural architecture search
...
Deep neural networks (DNNs) based automatic speech recognition (ASR) sys...
Speaker verification systems usually suffer from the mismatch problem be...
If NAS methods are solutions, what is the problem? Most existing NAS met...