Amanote Research
Register
Sign In
Learning With Synthesized Speech for Automatic Emotion Recognition
doi 10.1109/icassp.2010.5495017
Full Text
Open PDF
Abstract
Available in
full text
Date
March 1, 2010
Authors
Bjorn Schuller
Felix Burkhardt
Publisher
IEEE
Related search
Automatic Speech Emotion Recognition Using Machine Learning
Target-Adapted Subspace Learning for Cross-Corpus Speech Emotion Recognition
IEICE Transactions on Information and Systems
Electronic Engineering
Pattern Recognition
Hardware
Computer Vision
Electrical
Architecture
Artificial Intelligence
Software
Speaker Awareness for Speech Emotion Recognition
International journal of online and biomedical engineering
Engineering
Automatic Speech Recognition With Deep Neural Networks for Impaired Speech
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Integrated Pronunciation Learning for Automatic Speech Recognition Using Probabilistic Lexical Modeling
Improving Automatic Speech Recognition by Learning From Human Errors
Journal of the Acoustical Society of America
Acoustics
Ultrasonics
Arts
Humanities
Automatic Speech Emotion and Speaker Recognition Based on Hybrid GMM and FFBNN
International Journal on Computational Science & Applications
A Review of Generalizable Transfer Learning in Automatic Emotion Recognition
Frontiers in Computer Science
Speech Emotion Recognition System for Social Robots
Journal of Automation, Mobile Robotics and Intelligent Systems
Control
Systems Engineering
Signal Processing
Artificial Intelligence
