Proceedings of the 2015 International Symposium on Computers & Informatics

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Recognition of practical English speech emotion using improved Quantum Ant Colony Algorithm

Authors
Lihui Du, Yueguang Li
Corresponding Author
Lihui Du
Available Online January 2015.
DOI
10.2991/isci-15.2015.287How to use a DOI?
Keywords
improved Quantum Ant Colony Algorithm; English speech emotion; Recognition; heuristics
Abstract

Due to the drawbacks in Support Vector Machine (SVM) parameter optimization, an improved quantum ant colony algorithm was proposed, and the learning ability in practical English speech emotion recognition was improved. The experimental results showed that quantum ant colony algorithm may significantly improve the practical English speech emotion recognition.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Symposium on Computers & Informatics
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
10.2991/isci-15.2015.287
ISSN
2352-538X
DOI
10.2991/isci-15.2015.287How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Lihui Du
AU  - Yueguang Li
PY  - 2015/01
DA  - 2015/01
TI  - Recognition of practical English speech emotion using improved Quantum Ant Colony Algorithm
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 2192
EP  - 2199
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.287
DO  - 10.2991/isci-15.2015.287
ID  - Du2015/01
ER  -