During the last decade, Speech Emotion Recognition (SER) has emerged as an integral
component within Human-computer Interaction (HCI) and other high-end speech processing …

Emotions are an integral part of human interactions and are significant factors in determining
user satisfaction or customer opinion. speech emotion recognition (SER) modules also play …

In recent years, the rapid development of sensors and information technology has made it
possible for machines to recognize and analyze human emotions. Emotion recognition is an …

Emotion recognition has gained prominence in diverse applications ranging from safe
driving and e-commerce to healthcare. Traditional approaches have often relied on single …

Emotions play an essential role in human relationships, and many real‐time applications
rely on interpreting the speaker's emotion from their words. Speech emotion recognition …

This paper proposes an emotion recognition system based on speech signals in two-stage
approach, namely feature extraction and classification engine. Firstly, two sets of feature are …

Recent years have witnessed the great progress for speech emotion recognition using deep
convolutional neural networks (DCNNs). In order to improve the performance of speech …

Speech emotion recognition (SER) is currently a research hotspot due to its challenging
nature but bountiful future prospects. The objective of this research is to utilize Deep Neural …

Due to the limitation of memory and computational power in the embedded system, this work
proposes a novel approach to create a useful set of features for improving speech emotion …

In recent years, there is a growing interest in speech emotion recognition (SER) by
analyzing input speech. SER can be considered as simply pattern recognition task which …