Robust automatic speech emotional-speech recognition architectures based on hybrid
convolutional neural networks (CNN) and feedforward deep neural networks are proposed …

Emotion classification is a research area in which there has been very intensive literature
production concerning natural language processing, multimedia data, semantic knowledge …

To recognize stress and emotion, most of the existing methods only observe and analyze
speech patterns from present-time features. However, an emotion (especially for stress) can …

Human error is a mark assigned to an event that has negative effects or does not produce a
desired result, with emotions playing an important role in how humans think and behave. If …

When social networks actors are involved in the production, consumption and exchange of
content and information by texts, images, audios, videos, they act in a shared digital …

Speech based emotion recognition is an emerging area in human computer interaction. It
can improve the performance of smart assistant systems. In this work, a wavelet based …

The ability to express emotions is a natural trait of humans. Machines or robots do not have
that ability, so far. The synthesized speech signals, that machines use currently, lack …

Voice analysis has emerged as a pivotal tool in emotion detection, with applications
spanning customer service to aviation safety. This study investigates the effectiveness of …

The purpose of this study is to acquire the required knowledge resulting from converting
Arabic speech into text. This system passes through some stages. The initial stage is …

Speech emotion recognition is one of the latest challenges in speech processing. Besides
facial expressions or gestures, speech has proven as one of the most promising modalities …