Emotion recognition from unimodal to multimodal analysis: A review

K Ezzameli, H Mahersia - Information Fusion, 2023 - Elsevier
The omnipresence of numerous information sources in our daily life brings up new
alternatives for emotion recognition in several domains including e-health, e-learning …

State-of-the-art review of machine learning applications in additive manufacturing; from design to manufacturing and property control

GK Sarkon, B Safaei, MS Kenevisi, S Arman… - … Methods in Engineering, 2022 - Springer
In this review, some of the latest applicable methods of machine learning (ML) in additive
manufacturing (AM) have been presented and the classification of the most common ML …

An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition

MR Ahmed, S Islam, AKMM Islam… - Expert Systems with …, 2023 - Elsevier
Precise recognition of emotion from speech signals aids in enhancing human–computer
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …

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 …

Modeling Speech Emotion Recognition via Attention-Oriented Parallel CNN Encoders

F Makhmudov, A Kutlimuratov, F Akhmedov… - Electronics, 2022 - mdpi.com
Meticulous learning of human emotions through speech is an indispensable function of
modern speech emotion recognition (SER) models. Consequently, deriving and interpreting …

Improved feature parameter extraction from speech signals using machine learning algorithm

AB Abdusalomov, F Safarov, M Rakhimov, B Turaev… - Sensors, 2022 - mdpi.com
Speech recognition refers to the capability of software or hardware to receive a speech
signal, identify the speaker's features in the speech signal, and recognize the speaker …

Speech emotion recognition using attention model

J Singh, LB Saheer, O Faust - International Journal of Environmental …, 2023 - mdpi.com
Speech emotion recognition is an important research topic that can help to maintain and
improve public health and contribute towards the ongoing progress of healthcare …

Attention-based multi-learning approach for speech emotion recognition with dilated convolution

S Kakuba, A Poulose, DS Han - IEEE Access, 2022 - ieeexplore.ieee.org
The success of deep learning in speech emotion recognition has led to its application in
resource-constrained devices. It has been applied in human-to-machine interaction …

Enhancing speech emotion recognition using dual feature extraction encoders

I Pulatov, R Oteniyazov, F Makhmudov, YI Cho - Sensors, 2023 - mdpi.com
Understanding and identifying emotional cues in human speech is a crucial aspect of
human–computer communication. The application of computer technology in dissecting and …

Speech emotion recognition using the novel PEmoNet (Parallel Emotion Network)

KB Bhangale, M Kothandaraman - Applied Acoustics, 2023 - Elsevier
Emotions are very crucial for humans for expressing perception and daily activities such as
communication, learning, and decision-making. Human emotion recognition using machines …