Skip to main navigation
Skip to search
Skip to main content
University of Johannesburg Home
Search content at University of Johannesburg
Home
Scholars
Research entities
Research output
Press/Media
Equipment & facilities
Prestigious awards
Speech emotion recognition using deep learning
Tanmoy Roy
,
Marwala Tshilidzi
, Snehashish Chakraverty
Faculty of Engineering and the Built Environment
University of Johannesburg
National Institute of Technology Rourkela
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
›
peer-review
6
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Speech emotion recognition using deep learning'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Engineering
Deep Learning
100%
Deep Neural Network
66%
Feedforward
33%
Hidden Layer
33%
Learning Approach
33%
Computervision
33%
Artificial Intelligence
33%
Network Model
33%
Neural Network Approach
33%
Robust Solution
33%
Accuracy Improvement
33%
Subdomains
33%
Computer Science
Speech Emotion Recognition
100%
Deep Learning
100%
Deep Neural Network
33%
Artificial Intelligence
16%
Computer Vision
16%
Subdomains
16%
Neural Network Approach
16%
Unsolved Problem
16%
Learning Approach
16%
Robust Solution
16%
Feedforward Neural Network
16%
Keyphrases
Deep Learning
100%
Deep Neural Network
33%
Robust Solution
16%
Deep Learning Methods
16%
Network Model
16%
Random Displacements
16%
Deep Learning Architectures
16%
Emo-DB
16%
Biochemistry, Genetics and Molecular Biology
Solution and Solubility
100%
Artificial Intelligence
100%