Speaker recognition (SR) from speech can help determine the environmental context in
multi-talker conversational scenarios to enable the design of context-aware multi-modal …

Visual Speech Recognition (VSR) stands at the intersection of computer vision and speech
recognition, aiming to interpret spoken content from visual cues. A prominent challenge in …

Despite the recent advances in deep neural networks, standard convolutional kernels limit
the applications of these networks to the Euclidean domain only. Considering the geodesic …

This paper proposes a novel, resource-efficient approach to Visual Speech Recognition
(VSR) leveraging speech representations produced by any trained Automatic Speech …

Despite the recent advances in deep neural networks, standard convolutional kernels limit
the applications of these networks to the Euclidean domain only. Considering the geodesic …

Abstract Visual Speech Recognition (VSR) is a popular area in computer vision research,
attracting interest for its ability to precisely analyze lip motion and seamlessly convert them …

The processing of face information relies on the quality of data resources and therefore the
dataset is crucial for image processing. While considering behavioural investigations of …