Emotion recognition using different sensors, emotion models, methods and datasets: A comprehensive review

Y Cai, X Li, J Li - Sensors, 2023 - mdpi.com
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 …

Artificial Emotional Intelligence: Conventional and deep learning approach

H Kumar, A Martin - Expert Systems with Applications, 2023 - Elsevier
Artificial intelligence substantially changes the global world, influencing technologies,
machines, and objects in various encouraging aspects nowadays; emotion recognition is …

Human‐Computer Interaction with Detection of Speaker Emotions Using Convolution Neural Networks

AA Alnuaim, M Zakariah, A Alhadlaq… - Computational …, 2022 - Wiley Online Library
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 …

Speech emotion recognition with deep learning

H Aouani, YB Ayed - Procedia Computer Science, 2020 - Elsevier
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 …

A speech emotion recognition model based on multi-level local binary and local ternary patterns

YÜ Sönmez, A Varol - IEEE Access, 2020 - ieeexplore.ieee.org
Interpreting a speech signal is quite challenging because it consists of different frequencies
and features that vary according to emotions. Although different algorithms are being …

[HTML][HTML] In-depth investigation of speech emotion recognition studies from past to present The importance of emotion recognition from speech signal for AI

YÜ SÖNMEZ, A VAROL - Intelligent Systems with Applications, 2024 - Elsevier
In the super smart society (Society 5.0), new and rapid methods are needed for speech
recognition, emotion recognition, and speech emotion recognition areas to maximize human …

CNN-based models for emotion and sentiment analysis using speech data

A Madan, D Kumar - ACM Transactions on Asian and Low-Resource …, 2024 - dl.acm.org
The study aims to present an in-depth Sentiment Analysis (SA) grounded by the presence of
emotions in the speech signals. Nowadays, all kinds of web-based applications ranging …

Speech emotion recognition method using time-stretching in the preprocessing phase and artificial neural network classifiers

VC Govoreanu, M Neghină - 2020 IEEE 16th International …, 2020 - ieeexplore.ieee.org
Human emotions are playing a significant role in the understanding of human behaviour.
There are multiple ways of recognizing human emotions, and one of them is through human …

Human emotion recognition using intelligent approaches: A review

MK Chowdary, DJ Hemanth - Intelligent Decision …, 2019 - content.iospress.com
Emotions are the natural and easiest way of communication between human beings and
also plays a prominent role in day to day life. In current scenario, emotion recognition is the …

Audiovisual emotion recognition based on bi-layer LSTM and multi-head attention mechanism on RAVDESS dataset

Z Jin, W Zai - The Journal of Supercomputing, 2025 - Springer
Recognizing and classifying emotions is important. It is key in medicine, transportation, and
artificial intelligence. This paper aims to address the problem. The problem is poor emotion …