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

Speech emotion recognition (SER) has gained an increased interest during the last decades
as part of enriched affective computing. As a consequence, a variety of engineering …

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

Advances in automated speech recognition significantly accelerated the automation of
contact centers, thus creating a need for robust Speech Emotion Recognition (SER) as an …

The goal of this work is to investigate the correlation between physiological process of
articulation and emotion expressing modes via speech of Mandarin Chinese. A bimodal …

Speech emotion recognition (SER) has several applications, such as e-learning, human-
computer interaction, customer service, and healthcare systems. Although researchers have …

Human–computer interaction (HCI) improved via voice detection of emotions. Speech
Emotion Recognition (SER) software typically detects the appearance of various feelings in …

This article presents a solution for Speech Emotion Recognition (SER) in multilingual setting
using a hierarchical approach. The approach involves two levels, the first level identifies the …

This article approaches the Speech Emotion Recognition (SER) problem with the focus
placed on multilingual settings. The proposed solution consists in a hierarchical scheme the …

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