This work presents a meta study covering around 300 published sign language recognition
papers with over 400 experimental results. It includes most papers between the start of the …

Sign language datasets are essential to developing many sign language technologies. In
particular, datasets are required for training artificial intelligence (AI) and machine learning …

Abstract Systems that can efficiently search collections of sign language videos have been
highlighted as a useful application of sign language technology. However, the problem of …

Sign language recognition has attracted the interest of researchers in recent years. While
numerous approaches have been proposed for European and Asian sign languages …

Effective communication is paramount for the inclusion of deaf individuals in society.
However, persistent communication barriers due to limited Sign Language (SL) knowledge …

Imagine being able to show a system a visual depiction of a keyword and finding spoken
utterances that contain this keyword from a zero-resource speech corpus. We formalise this …

Visually grounded speech models learn from images paired with spoken captions. By
tagging images with soft text labels using a trained visual classifier with a fixed vocabulary …

Visually grounded speech (VGS) models are trained on images paired with unlabelled
spoken captions. Such models could be used to build speech systems in settings where it is …

Keyword localisation is the task of finding where in a speech utterance a given query
keyword occurs. We investigate to what extent keyword localisation is possible using a …

In this era, intelligent vision computing has always been a fascinating field. With the rapid
development in computer vision, dynamic gesture-based recognition systems have attracted …