In recent years, lip-reading has been one of the studies whose importance has increased
considerably, especially with the spread of deep learning applications. In this topic …

Speechreading which infers spoken message from a visually detected articulated facial
trend is a challenging task. In this paper, we propose an end-to-end ResNet (E2E-ResNet) …

Lip reading has attracted increasing attention recently due to advances in deep learning.
However, most research targets English datasets. The study of Chinese lip-reading …

Communication between human beings has several ways, one of the most known and used
is speech, both visual and acoustic perceptions sensory are involved, because of that, the …

Speaker identification plays a vital role in various real-life applications, including personal
safety systems and human-computer interaction. This study presents a novel approach to …

Lip reading technology can significantly benefit various domains, such as enhancing
communication for the deaf, assisting in noisy environments, and improving security with …

Two main challenges faced by deep learning systems are related to the amount of data and
the complexity of the model concerning the number and type of layers and the number of …

Abstract Visual Speech Recognition (VSR) is an appealing technology for predicting and
analyzing spoken language based on lip movements. Previous research in this area has …

In recent lip-reading technologies, deep learning methodologies have emerged as the key,
transcending the limitations of traditional hybrid Deep Neural Network-Hidden Markov …

To perform a sign properly and accurately in Iranian Sign Language, the lips must move
dynamically in addition to the fingers and hands moving. The current study aims to develop …