Speaker State Recognition with Neural Network-based Classification and Self-adaptive Heuristic Feature Selection

Maxim Sidorov, Christina Brester, Eugene Semenkin, Wolfgang Minker

2014

Abstract

While the implementation of existing feature sets and methods for automatic speaker state analysis has already achieved reasonable results, there is still much to be done for further improvement. In our research, we tried to carry out speech analysis with the self-adaptive multi-objective genetic algorithm as a feature selection technique and with a neural network as a classifier. The proposed approach was evaluated using a number of multi-language speech databases (English, German and Japanese). According to the obtained results, the developed technique allows an increase in emotion recognition performance by up to 6.2% relative improvement in average F-measure, up to 112.0% for the speaker identification task and up to 6.4% for the speech-based gender recognition, having approximately half as many features.

Paper Citation

in Harvard Style

Sidorov M., Brester C., Semenkin E. and Minker W. (2014). Speaker State Recognition with Neural Network-based Classification and Self-adaptive Heuristic Feature Selection . In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-039-0, pages 699-703. DOI: 10.5220/0005049706990703

in Bibtex Style

@conference{icinco14,
author={Maxim Sidorov and Christina Brester and Eugene Semenkin and Wolfgang Minker},
title={Speaker State Recognition with Neural Network-based Classification and Self-adaptive Heuristic Feature Selection},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2014},
pages={699-703},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005049706990703},
isbn={978-989-758-039-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Speaker State Recognition with Neural Network-based Classification and Self-adaptive Heuristic Feature Selection
SN - 978-989-758-039-0
AU - Sidorov M.
AU - Brester C.
AU - Semenkin E.
AU - Minker W.
PY - 2014
SP - 699
EP - 703
DO - 10.5220/0005049706990703