Sentiment analysis (SA) aims to understand the attitudes and views of opinion holders with
computers. Previous studies have achieved significant breakthroughs and extensive …

Sentiment analysis (SA) is an emerging field in text mining. It is the process of
computationally identifying and categorizing opinions expressed in a piece of text over …

This paper introduces the extended description of a database that contains emotional
speech in the Russian language of younger school age (8–12-year-old) children and …

Speech emotion recognition (SER) has made significant strides with the advent of powerful
self-supervised learning (SSL) models. However, the generalization of these models to …

In this paper, the Mexican Emotional Speech Database (MESD) that contains single-word
emotional utterances for anger, disgust, fear, happiness, neutral and sadness with adult …

Speech emotion recognition (SER) is attractive in several domains, such as automated
translation, call centres, intelligent healthcare, and human–computer interaction. Deep …

Background Socio-emotional impairments are among the diagnostic criteria for autism
spectrum disorder (ASD), but the actual knowledge has substantiated both altered and intact …

Emotional content is particularly salient, but situational factors such as cognitive load may
disturb the attentional prioritization towards affective stimuli and interfere with their …

Emotion recognition through speech is a technique employed in various scenarios of
Human–Computer Interaction (HCI). Existing approaches have achieved significant results; …

Emotion datasets used for Speech Emotion Recognition (SER) often contain acted or
elicited speech, limiting their applicability in real-world scenarios. In this work, we used the …