796 citations · 2.2k across the 23 of their papers we have counts for
4 papers · 1 filter
LRS3-TED: a large-scale dataset for visual speech recognition
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman
This paper introduces a new multi-modal dataset for visual and audio-visual speech recognition. It includes face tracks from over 400 hours of TED and TEDx videos, along with the c…
Deep Audio-Visual Speech Recognition
Triantafyllos Afouras, Joon Son Chung, Andrew Senior +2
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 lim…
Deep Lip Reading: a comparison of models and an online application
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman
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 ti…
The Conversation: Deep Audio-Visual Speech Enhancement
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman
Our goal is to isolate individual speakers from multi-talker simultaneous speech in videos. Existing works in this area have focussed on trying to separate utterances from known sp…