We are living in the era of big data. The Metaverse is an emerging technology in the future,
and it has a combination of big data, AI (artificial intelligence), VR (Virtual Reality), AR …

The speech emotion recognition (SER) field has been active since it became a crucial
feature in advanced Human-Computer Interaction (HCI), and wide real-life applications use …

Speech emotion recognition (SER) plays a vital role in improving the interactions between
humans and machines by inferring human emotion and affective states from speech signals …

Parkinson's Disease (PD) is one of the most common non-curable neurodegenerative
diseases. Diagnosis is achieved clinically on the basis of different symptoms with …

This work explores the use of constant-Q transform based modulation spectral features (CQT-
MSF) for speech emotion recognition (SER). The human perception and analysis of sound …

Goal: As an essential human-machine interactive task, emotion recognition has become an
emerging area over the decades. Although previous attempts to classify emotions have …

Machine Learning (ML) algorithms within a human–computer framework are the leading
force in speech emotion recognition (SER). However, few studies explore cross-corpora …

Dog barks are a crucial means for dogs to express their emotions, conveying needs and
emotional states such as anger, sadness, or excitement. With the increasing number of pet …

Emotions are very crucial for humans for expressing perception and daily activities such as
communication, learning, and decision-making. Human emotion recognition using machines …

There is an imminent need for guidelines and standard test sets to allow direct and fair
comparisons of speech emotion recognition (SER). While resources, such as the Interactive …