People who are not experts in robotics can easily implement complex robotic applications by
using human–robot interaction (HRI). HRI systems require many complex operations such …

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 …

Video-to-speech is the process of reconstructing the audio speech from a video of a spoken
utterance. Previous approaches to this task have relied on a two-step process where an …

In this work, we present the Densely Connected Temporal Convolutional Network (DC-TCN)
for lip-reading of isolated words. Although Temporal Convolutional Networks (TCN) have …

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 …

Visual speech recognition is a method that comprehends speech from speakers lip
movements and the speech is validated only by the shape and lip movement …

Visual speech recognition (VSR) is a method of reading speech by noticing the lip actions of
the narrators. Visual speech significantly depends on the visual features derived from the …

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 is a form of “listening” to people that happens visually. It's also referred to as
“Speech reading.” This is done by observing the speaker's face and listening to the spoken …

In this work, we re-think the task of speech enhancement in unconstrained real-world
environments. Current state-of-the-art methods use only the audio stream and are limited in …