Visual speech information from the speaker's mouth region has been successfully shown to
improve noise robustness of automatic speech recognizers, thus promising to extend their …

Visual speech information plays an important role in automatic speech recognition (ASR)
especially when audio is corrupted or even inaccessible. Despite the success of audio …

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

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 …

This paper describes a speech recognition system that uses both acoustic and visual
speech information to improve recognition performance in noisy environments. The system …

Visual speech information plays an important role in lipreading under noisy conditions or for
listeners with a hearing impairment. In this paper, we present local spatiotemporal …

We have made significant progress in automatic speech recognition (ASR) for well-defined
applications like dictation and medium vocabulary transaction processing tasks in relatively …

Multimodal signal processing has become an important topic of research for overcoming
certain problems of audio-only speech processing. Audio-visual speech recognition is one …

Machine lipreading is a special type of automatic speech recognition (ASR) which
transcribes human speech by visually interpreting the movement of related face regions …

Visual speech, referring to the visual domain of speech, has attracted increasing attention
due to its wide applications, such as public security, medical treatment, military defense, and …