Going beyond 'dendritic democracy', we introduce a 'democracy of local
p...
This paper proposes the MBURST, a novel multimodal solution for audio-vi...
There is ample neurobiological evidence that context-sensitive neocortic...
Current deep learning (DL) based approaches to speech intelligibility
en...
Multimodal hearing aids (HAs) aim to deliver more intelligible audio in ...
Current deep learning (DL) based approaches to speech intelligibility
en...
In this paper, an approach for hate speech detection against women in Ar...
This paper presents, a first of its kind, audio-visual (AV) speech enhac...
Noisy situations cause huge problems for suffers of hearing loss as hear...
Extreme events and disasters resulting from climate change or other
ecol...
Awareness plays a major role in human cognition and adaptive behaviour,
...
Existing audio-only hearing-aids are known to perform poorly in noisy
si...
Human speech processing is inherently multimodal, where visual cues (lip...
Traditional saliency detection via Markov chain only considers boundarie...
Attackers have developed ever more sophisticated and intelligent ways to...
Data annotation is an important but time-consuming and costly procedure....
The rise of social media is enabling people to freely express their opin...
Human auditory cortex excels at selectively suppressing background noise...
This paper proposes a novel lip-reading driven deep learning framework f...