Exposure to varied noisy environments impairs the recognition performance of artificial
intelligence‐based speech recognition technologies. Degraded‐performance services can …

This paper investigates the fixed-time sliding mode control (FTSMC) problem for a
quadcopter unmanned aerial vehicle (QUAV), which is driven by a lip-reading recognition …

Recent advances in Audio-Visual Speech Recognition (AVSR) have led to unprecedented
achievements in the field, improving the robustness of this type of system in adverse, noisy …

Visual speech recognition (VSR) is a challenging task that has received increasing interest
during the last few decades. Current state of the art employs powerful end-to-end …

Visual speech recognition (VSR) is a challenging task that aims to interpret speech based
solely on lip movements. However, although remarkable results have recently been reached …

Visual speech recognition remains an open research problem where different challenges
must be considered by dispensing with the auditory sense, such as visual ambiguities, the …

Several sensing techniques have been proposed for silent speech recognition (SSR);
however, many of these methods require invasive processes or sensor attachment to the …

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 …

Different studies have shown the importance of visual cues throughout the speech
perception process. In fact, the development of audiovisual approaches has led to advances …

This article presents the extension of the LIP-RTVE dataset, a dataset dedicated to the
Spanish language for advancing audiovisual speech technologies. The annotated corpus …