Variational mode decomposition based acoustic and entropy features for speech emotion recognition
Automated speech emotion recognition (SER) is a machine-based method for identifying
emotion from speech signals. SER has many practical applications, including improving …
emotion from speech signals. SER has many practical applications, including improving …
Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques …
Background The acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease seriously
affected worldwide health. It remains an important worldwide concern as the number of …
affected worldwide health. It remains an important worldwide concern as the number of …
Word-level emotion distribution with two schemas for short text emotion classification
Understanding word-level emotion in terms of both category and intensity has always been
considered an essential step in addressing text emotion classification tasks. Existing studies …
considered an essential step in addressing text emotion classification tasks. Existing studies …
Deep convolutional neural network and gray wolf optimization algorithm for speech emotion recognition
Speech emotion recognition (SER), an important method of emotional human–machine
interaction, has been the focus of much research in recent years. Motivated by powerful …
interaction, has been the focus of much research in recent years. Motivated by powerful …
Automated ischemic acute infarction detection using pre-trained CNN models' deep features
B Tasci - Biomedical Signal Processing and Control, 2023 - Elsevier
Abstract Background Cerebrovascular Diseases (CVD) constitute more than 50% of
neurological diseases requiring hospital treatment. Stroke is a type of disease that causes …
neurological diseases requiring hospital treatment. Stroke is a type of disease that causes …
Emotion recognition using heterogeneous convolutional neural networks combined with multimodal factorized bilinear pooling
Y Zhang, C Cheng, S Wang, T Xia - Biomedical Signal Processing and …, 2022 - Elsevier
Multimodal emotion recognition is one of the challenging topics in the field of knowledge-
based systems and many methods have been studied successfully. Nevertheless …
based systems and many methods have been studied successfully. Nevertheless …
Shoelace pattern-based speech emotion recognition of the lecturers in distance education: ShoePat23
Background and objective We are living in the pandemic age, and many educational
institutions have shifted to a distance education system to ensure learning continuity while at …
institutions have shifted to a distance education system to ensure learning continuity while at …
GM-TCNet: Gated multi-scale temporal convolutional network using emotion causality for speech emotion recognition
In human-computer interaction, Speech Emotion Recognition (SER) plays an essential role
in understanding the user's intent and improving the interactive experience. While similar …
in understanding the user's intent and improving the interactive experience. While similar …
[HTML][HTML] Speech emotion recognition using convolution neural networks and multi-head convolutional transformer
Speech emotion recognition (SER) is a challenging task in human–computer interaction
(HCI) systems. One of the key challenges in speech emotion recognition is to extract the …
(HCI) systems. One of the key challenges in speech emotion recognition is to extract the …
Aspect-based sentiment analysis of customer speech data using deep convolutional neural network and bilstm
S Murugaiyan, SR Uyyala - Cognitive Computation, 2023 - Springer
The process of detecting sentiments of particular context from human speech emotions is
naturally in-built for humans unlike computers, where it is not possible to process human …
naturally in-built for humans unlike computers, where it is not possible to process human …