People express emotions through different modalities. Utilization of both verbal and
nonverbal communication channels allows to create a system in which the emotional state is …

Rolling bearing plays an important role in rotary machines. In rotating machine fault
diagnosis, two-channel signals that are recorded from bearing provide sufficient information …

The peak frame selection with corresponding voice segment identification is a challenging
problem in the audio-video human emotion recognition. The peak frame is a most relevant …

This paper presents a novel bimodal speech emotion recognition system based on analysis
of acoustic and linguistic information. We propose a novel decision-level fusion strategy that …

The recognition of fine-grained emotions (ie, happiness, sad, etc.) has shown its importance
in a real-world implementation. The emotion recognition using physiological signals is a …

Emotion is a significant aspect o the progress of human–computer interaction systems. To
achieve best functionality through HCI, the computer is able to understand the emotions of …

In this article, attention‐based mechanism with the enhancement on biologically inspired
network for emotion recognition is proposed. Existing bio‐inspired models use multiscale …

Speech emotion recognition is a subfield of computational paralinguistics that analyzes
emotional manifestations using acoustic and linguistic properties of speech signals. With a …

Emotion recognition has been a research topic in the field of Human-Computer Interaction
(HCI) during recent years. Computers have become an inseparable part of human life. Users …

Human emotion recognition is an upcoming research field of human computer interaction
based on facial gestures and is being used for real-time analysis in classifying cognitive …