Lipreading is the task of decoding text from the movement of a speaker's mouth. Traditional
approaches separated the problem into two stages: designing or learning visual features …

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

Audiovisual fusion is one of the most challenging tasks that continues to attract substantial
research interest in the field of audiovisual automatic speech recognition (AV-ASR). In the …

Lip-reading aims to infer the speech content from the lip movement sequence and can be
seen as a typical sequence-to-sequence (seq2seq) problem which translates the input …

Audio-based automatic speech recognition (A-ASR) systems are affected by noisy
conditions in real-world applications. Adding visual cues to the ASR system is an appealing …

We present a Lipreading system, ie a speech recognition system using only visual features,
which uses domain-adversarial training for speaker independence. Domain-adversarial …

Audiovisual speech recognition (AVSR) is a method to alleviate the adverse effect of noise
in the acoustic signal. Leveraging recent developments in deep neural network-based …

Visual information can improve the performance of automatic speech recognition (ASR),
especially in the presence of background noise or different speech modes. A key problem is …

Lip-reading is an emerging technology in recent years, and it can be applied to the field of
language recovery, criminal investigation, identity authentication, etc. We aim to recognize …

In recent years, deep learning based machine lipreading has gained prominence. To this
end, several architectures such as LipNet, LCANet and others have been proposed which …