The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …

Affective computing is one of the most important research fields in modern human–computer
interaction (HCI). The goal of affective computing is to study and develop the theories …

In recent years, affective computing has become a topic of considerable interest, driven by
its ability to enhance several domains, such as mental health monitoring, human–computer …

Devices with sensing-memory-computing capability for the detection, recognition and
memorization of real time sensory information could simplify data conversion, transmission …

Multimodal emotion recognition in conversational videos (ERC) develops rapidly in recent
years. To fully extract the relative context from video clips, most studies build their models on …

Abstract Knowledge production within the interdisciplinary field of human–robot interaction
(HRI) with social robots has accelerated, despite the continued fragmentation of the …

Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …

Audio-visual learning, aimed at exploiting the relationship between audio and visual
modalities, has drawn considerable attention since deep learning started to be used …

The integration of exponential technologies in the traditional manufacturing processes
constitutes a noteworthy trend of the past two decades, aiming to reshape the industrial …

To effectively fuse speech and visual features, this letter proposes a multi-modal emotion
recognition method by fusing correlation features of speech-visual. Firstly, speech and visual …