Our aim is to recognise the words being spoken by a talking face, given only the video but
not the audio. Existing works in this area have focussed on trying to recognise a small …

Our aim is to recognise the words being spoken by a talking face, given only the video but
not the audio. Existing works in this area have focussed on trying to recognise a small …

The goal of this work is to recognise phrases and sentences being spoken by a talking face,
with or without the audio. Unlike previous works that have focussed on recognising a limited …

The goal of this work is to recognise phrases and sentences being spoken by a talking face,
with or without the audio. Unlike previous works that have focussed on recognising a limited …

Lip reading, also known as visual speech recognition, aims to recognize the speech content
from videos by analyzing the lip dynamics. There have been several appealing progress in …

Lip reading has witnessed unparalleled development in recent years thanks to deep
learning and the availability of large-scale datasets. Despite the encouraging results …

Large-scale datasets have successively proven their fundamental importance in several
research fields, especially for early progress in some emerging topics. In this paper, we …

There has been a quantum leap in the performance of automated lip reading recently due to
the application of neural network sequence models trained on a very large corpus of aligned …

This work presents a scalable solution to open-vocabulary visual speech recognition. To
achieve this, we constructed the largest existing visual speech recognition dataset …

The goal of this paper is to develop state-of-the-art models for lip reading--visual speech
recognition. We develop three architectures and compare their accuracy and training …