Audio-visual speech recognition (AVSR) is one of the most promising solutions for reliable
speech recognition, particularly when audio is corrupted by noise. Additional visual …

Many researchers have been seeking robust emotion recognition system for already last two
decades. It would advance computer systems to a new level of interaction, providing much …

Methods for detecting emotions that employ many modalities at the same time have been
found to be more accurate and resilient than those that rely on a single sense. This is due to …

Recent technological developments have enabled computers to identify and categorize
facial expressions to determine a person's emotional state in an image or a video. This …

Facial expressions are a crucial aspect of human communication that provide information
about emotions, intentions, interactions, and social relationships. They are a universal signal …

Automatic emotion recognition has gained significant attention over the past two decades
due to the central role that emotions play in human communication. While multi-modal …

Classifying facial expressions is a vital part of developing systems capable of aptly
interacting with users. In this field, the use of deep-learning models has become the …

Recognition of emotions and sentiment (affective states) from human audio–visual
information is widely used in healthcare, education, entertainment, and other fields; …

As emotions play a central role in human communication, automatic emotion recognition has
attracted increasing attention in the last two decades. While multimodal systems enjoy high …

In this paper, we present a new multimodal corpus called Biometric Russian Audio-Visual
Extended MASKS (BRAVEMASKS), which is designed to analyze voice and facial …