A systematic literature review of speech emotion recognition approaches

YB Singh, S Goel - Neurocomputing, 2022 - Elsevier
Nowadays emotion recognition from speech (SER) is a demanding research area for
researchers because of its wide real-life applications. There are many challenges for SER …

A survey of speech emotion recognition in natural environment

MS Fahad, A Ranjan, J Yadav, A Deepak - Digital signal processing, 2021 - Elsevier
While speech emotion recognition (SER) has been an active research field since the last
three decades, the techniques that deal with the natural environment have only emerged in …

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 …

Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities

AB Nassif, A Elnagar, I Shahin, S Henno - Applied Soft Computing, 2021 - Elsevier
The fields of machine learning and Web technologies have witnessed significant
development in the last years. This caused a ceaseless and rapid growth in sharing of the …

[HTML][HTML] Acoustic emission analysis of crack type identification of corroded concrete columns under eccentric loading: A comparative analysis of RA-AF method and …

Z Chen, G Zhang, R He, Z Tian, C Fu, X Jin - Case Studies in Construction …, 2023 - Elsevier
Crack location and type identification of reinforced concrete columns in service is of great
interest to researchers, since it influences the decision-making of maintenance and retrofit …

Emotional speech recognition using cnn and deep learning techniques

C Hema, FPG Marquez - Applied Acoustics, 2023 - Elsevier
Emotions are considered an integral and vital part of human life. It acts as a means of
expressing one's opinions and informing others about one's bodily and emotional well …

An efficient feature selection method for arabic and english speech emotion recognition using Grey Wolf Optimizer

I Shahin, OA Alomari, AB Nassif, I Afyouni, IA Hashem… - Applied Acoustics, 2023 - Elsevier
Nowadays, analyzing and interpreting emotions through human speech communication
have drawn a great attention in the field of human-computer interaction. Therefore, many …

Hybrid deep learning with optimal feature selection for speech emotion recognition using improved meta-heuristic algorithm

K Manohar, E Logashanmugam - Knowledge-based systems, 2022 - Elsevier
Speech emotion recognition is the crucial stream in emotional computing and also create
few issues owing to its complication in processing. The efficiency of the acoustic methods …

A panoramic survey of natural language processing in the Arab world

K Darwish, N Habash, M Abbas, H Al-Khalifa… - Communications of the …, 2021 - dl.acm.org
THE TERM NATURAL language refers to any system of symbolic communication (spoken,
signed, or written) that has evolved naturally in humans without intentional human planning …

Novel dual-channel long short-term memory compressed capsule networks for emotion recognition

I Shahin, N Hindawi, AB Nassif, A Alhudhaif… - Expert Systems with …, 2022 - Elsevier
Recent analysis on speech emotion recognition (SER) has made considerable advances
with the use of MFCC's spectrogram features and the implementation of neural network …