A systematic review on affective computing: Emotion models, databases, and recent advances
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
A comprehensive review of speech emotion recognition systems
During the last decade, Speech Emotion Recognition (SER) has emerged as an integral
component within Human-computer Interaction (HCI) and other high-end speech processing …
component within Human-computer Interaction (HCI) and other high-end speech processing …
Speech emotion recognition with deep convolutional neural networks
The speech emotion recognition (or, classification) is one of the most challenging topics in
data science. In this work, we introduce a new architecture, which extracts mel-frequency …
data science. In this work, we introduce a new architecture, which extracts mel-frequency …
Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities
Emotion identification based on multimodal data (eg, audio, video, text, etc.) is one of the
most demanding and important research fields, with various uses. In this context, this …
most demanding and important research fields, with various uses. In this context, this …
Ifogsim2: An extended ifogsim simulator for mobility, clustering, and microservice management in edge and fog computing environments
Abstract Internet of Things (IoT) has already proven to be the building block for next-
generation Cyber–Physical Systems (CPSs). The considerable amount of data generated by …
generation Cyber–Physical Systems (CPSs). The considerable amount of data generated by …
Speech emotion recognition enhanced traffic efficiency solution for autonomous vehicles in a 5G-enabled space–air–ground integrated intelligent transportation …
L Tan, K Yu, L Lin, X Cheng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Speech emotion recognition (SER) is becoming the main human–computer interaction logic
for autonomous vehicles in the next generation of intelligent transportation systems (ITSs). It …
for autonomous vehicles in the next generation of intelligent transportation systems (ITSs). It …
MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach
S Kwon - Expert Systems with Applications, 2021 - Elsevier
Speech is the most dominant source of communication among humans, and it is an efficient
way for human–computer interaction (HCI) to exchange information. Nowadays, speech …
way for human–computer interaction (HCI) to exchange information. Nowadays, speech …
[HTML][HTML] Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion
Speech emotion recognition (SER) is traditionally performed using merely acoustic
information. Acoustic features, commonly are extracted per frame, are mapped into emotion …
information. Acoustic features, commonly are extracted per frame, are mapped into emotion …
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 …
Learning alignment for multimodal emotion recognition from speech
Speech emotion recognition is a challenging problem because human convey emotions in
subtle and complex ways. For emotion recognition on human speech, one can either extract …
subtle and complex ways. For emotion recognition on human speech, one can either extract …