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

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 …

A speaker extraction algorithm seeks to extract the speech of a target speaker from a multi-
talker speech mixture when given a cue that represents the target speaker, such as a pre …

A speaker extraction algorithm seeks to extract the target speaker's speech from a multi-
talker speech mixture. The prior studies focus mostly on speaker extraction from a highly …

Prior studies on audio-visual speech recognition typically assume the visibility of speaking
lips, ignoring the fact that visual occlusion occurs in real-world videos, thus adversely …

In AR/VR devices, the voice interface, serving as one of the primary AR/VR control
mechanisms, enables users to interact naturally using speeches (voice commands) for …

Speech perception in noise becomes increasingly difficult with age. Similarly, bilinguals
often have difficulty with speech perception in noise in their second language (L2) due to …

This paper presents a novel deep learning architecture for word-level lipreading. Previous
works suggest a potential for incorporating a pretrained deep 3D Convolutional Neural …

Lipreading, aiming at interpreting speech by watching the lip movements of the speaker, has
great significance in human communication and speech understanding. Despite having …