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 …
researchers because of its wide real-life applications. There are many challenges for SER …
A survey of speech emotion recognition in natural environment
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 …
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 …
possible for machines to recognize and analyze human emotions. Emotion recognition is an …
Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities
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 …
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 …
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 …
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 …
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
Nowadays, analyzing and interpreting emotions through human speech communication
have drawn a great attention in the field of human-computer interaction. Therefore, many …
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 …
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
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 …
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
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 …
with the use of MFCC's spectrogram features and the implementation of neural network …