Speech emotion recognition (SER) has become a crucial topic in the field of human–
computer interactions. Feature representation plays an important role in SER, but there are …

In the past few years, triplet loss-based metric embeddings have become a de-facto
standard for several important computer vision problems, most notably, person …

Human facial emotion detection is one of the challenging tasks in computer vision. Owing to
high inter-class variance, it is hard for machine learning models to predict facial emotions …

Feature matching and finding correspondences between endoscopic images is a key step in
many clinical applications such as patient follow-up and generation of panoramic image …

This paper proposes a multimodal emotion recognition system based on hybrid fusion that
classifies the emotions depicted by speech utterances and corresponding images into …

Emotion is a form of high-level paralinguistic information that is intrinsically conveyed by
human speech. Automatic speech emotion recognition is an essential challenge for various …

Speech emotion recognition (SER) has widespread applications in human-computer
interaction. However, the performance of SER models often drops in domain mismatch …

Speech emotion recognition (SER) plays an important role in global business today to
improve service efficiency. In the literature of SER, many techniques have been using deep …

Speech emotion recognition (SER) plays an important role in human-computer interaction
(HCI) technology and has a wide range of application scenarios in medical medicine …

This study proposes the novel formulation of measuring emotional similarity between
speech recordings. This formulation explores the ordinal nature of emotions by comparing …