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 acoustic signal processing, the target signals usually carry semantic...
The human brain contextually exploits heterogeneous sensory information ...
Existing deep learning (DL) based speech enhancement approaches are gene...
Most recent works on sentiment analysis have exploited the text modality...
In recent years, there has been a massive increase in the amount of Inte...
This paper presents, a first of its kind, audio-visual (AV) speech enhac...
Social media hold valuable, vast and unstructured information on public
...
Noisy situations cause huge problems for suffers of hearing loss as hear...
Extreme events and disasters resulting from climate change or other
ecol...
Human speech processing is inherently multimodal, where visual cues (lip...
Attackers have developed ever more sophisticated and intelligent ways to...
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...