A survey on automated lip-reading approaches is presented in this paper with the main
focus being on deep learning related methodologies which have proven to be more fruitful …

Lip-reading has attracted a lot of research attention lately thanks to advances in deep
learning. The current state-of-the-art model for recognition of isolated words in-the-wild …

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 …

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 …

Traditional visual speech recognition systems consist of two stages, feature extraction and
classification. Recently, several deep learning approaches have been presented which …

Lip reading has become a popular topic recently. There is a widespread literature studies on
lip reading in human action recognition. Deep learning methods are frequently used in this …

Visual speech recognition models traditionally consist of two stages, feature extraction and
classification. Several deep learning approaches have been recently presented aiming to …

Lipreading refers to recognizing the speaker's speech content through the image sequence
of lip movement without the speech signal. Currently, most models use a spatiotemporal …

Lip reading is typically regarded as visually interpreting the speaker's lip movements during
the speaking. This is a task of decoding the text from the speaker's mouth movement. This …

Automatic speechreading systems have increasingly exploited deep learning advances,
resulting in dramatic gains over traditional methods. State-of-the-art systems typically …