In the last few years, there has been an increasing interest in developing systems for
Automatic Lip-Reading (ALR). Similarly to other computer vision applications, methods …

Audio-visual speech recognition (AVSR) is one of the most promising solutions for reliable
speech recognition, particularly when audio is corrupted by noise. Additional visual …

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 …

Several end-to-end deep learning approaches have been recently presented which extract
either audio or visual features from the input images or audio signals and perform speech …

Although automatic speech recognition (ASR) technology is mature, there are still some
unsolved problems, such as how to accurately identify what the speaker is saying in a noisy …

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

Recent works in speech recognition rely either on connectionist temporal classification
(CTC) or sequence-to-sequence models for character-level recognition. CTC assumes …

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 …

We focus on the word-level visual lipreading, which requires recognizing the word being
spoken, given only the video but not the audio. State-of-the-art methods explore the use of …

Several end-to-end deep learning approaches have been recently presented which
simultaneously extract visual features from the input images and perform visual speech …