The detection and classification of emotional states in speech involves the analysis of audio
signals and text transcriptions. There are complex relationships between the extracted …

Distance learning through online platforms has recently emerged as a significant addition to
the educational system, providing support and enhancing traditional delivery modes in …

Speech emotion recognition (SER) is not only a ubiquitous aspect of everyday
communication, but also a central focus in the field of human–computer interaction …

The article deals with the development of an ontological model of words in public political
discourse and texts of public speeches in the Kazakh language. The article presents an …

Emotions play a crucial role in human communication, and the ability to automatically
recognize them has broad applications in various domains, including human-computer …

This article delves into the analysis of hotbeds points in political discourse, examining the
diverse forms they can take. The primary focus revolves around the officiality and openness …

Formalization and modeling are an integral part to successful natural language processing.
This article studies the formalization and modeling of verb phrases of the Kazakh language …

The interactive speech between two or more inter locutors involves the text and acoustic
modalities. These modalities consist of intra and cross-modality relationships at different …

The interface design task involves creating a social task constructor for user customization.
Existing digital platforms for solving social problems prioritize features like accessibility …

Abstract This research presents AMRes (Adaptive Windowed Convolutional Neural Network
and Multiple Residual Network), a novel method that demonstrates remarkable resilience …