Lip reading has gained popularity due to the proliferation of emerging real-world
applications. This article provides a comprehensive review of benchmark datasets available …

Driven by deep learning techniques and large-scale datasets, recent years have witnessed
a paradigm shift in automatic lip reading. While the main thrust of Visual Speech …

The absence of the queen in a beehive is a very strong indicator of the need for beekeeper
intervention. Manually searching for the queen is an arduous recurrent task for beekeepers …

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 …

Large datasets as required for deep learning of lip reading do not exist in many languages.
In this paper we present the dataset GLips (German Lips) consisting of 250,000 publicly …

Lip reading technology refers to the analysis of the visual information of the speaker's mouth
movements to recognize the content of the speaker's speech. As one of the important …

Visual speech recognition (VSR) translates the visual speech cues into transcription.
Speaker-dependent VSR (SD-VSR) can be used for authentication and secure human …

Lip reading is a way of using skills and knowledge to understand a speaker's verbal
communication by visually interpreting the lip movements of the people. This becomes a …

In recent years, deep learning has already been applied to English lip‐reading. However,
Chinese lip‐reading starts late and lacks relevant dataset, and the recognition accuracy is …

Audio-Visual Speech Recognition (AVSR) faces the difficult task of exploiting acoustic and
visual cues simultaneously. Augmenting speech with the visual channel creates its own …