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 …
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
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 …
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
Precise recognition of emotion from speech signals aids in enhancing human–computer
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …
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
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 …
Modeling Speech Emotion Recognition via Attention-Oriented Parallel CNN Encoders
Meticulous learning of human emotions through speech is an indispensable function of
modern speech emotion recognition (SER) models. Consequently, deriving and interpreting …
modern speech emotion recognition (SER) models. Consequently, deriving and interpreting …
Improved feature parameter extraction from speech signals using machine learning algorithm
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 …
signal, identify the speaker's features in the speech signal, and recognize the speaker …
Speech emotion recognition using attention model
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 …
improve public health and contribute towards the ongoing progress of healthcare …
Attention-based multi-learning approach for speech emotion recognition with dilated convolution
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 …
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 …
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 …
communication, learning, and decision-making. Human emotion recognition using machines …