A model for Speech Emotion Recognition, based on a Convolutional Neural Networks
(CNNs) architecture, is proposed and evaluated. Recognition is performed on successive …

In this research, a study of cross-linguistic speech emotion recognition is performed. For this
purpose, emotional data of different languages (English, Lithuanian, German, Spanish …

The proposed emotion recognition model is based on the hierarchical long-short term
memory neural network (LSTM) for video-electroencephalogram (Video-EEG) signal …

Abstract Speech Emotion Recognition (SER) is an important part of Affective Computing and
emotionally aware Human–Computer Interaction. Emotional expression may vary …

There are individual differences in expressive behaviors driven by cultural norms and
personality. This between-person variation can result in reduced emotion recognition …

A Speaker Identification system for a personalized wearable device to combat gender-based
violence is presented in this paper. Speaker recognition systems exhibit a decrease in …

The current trends or procedures followed in the customer relation management system
(CRM) are based on reviews, mails, and other textual data, gathered in the form of feedback …

Currently, most of the affective computing research is about modifying and adapting the
machine behavior based on the human emotional state. Although, the use of the affective …

Personalized emotion recognition provides an individual training model for each target user
in order to mitigate the accuracy problem when using general training models collected from …

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