FUZZY CLASSIFICATION BY MULTI-LAYER AVERAGING - An Application in Speech Recognition

Milad Alemzadeh, Saeed Bagheri Shouraki, Ramin Halavati

2006

Abstract

This paper intends to introduce a simple fast space-efficient linear method for a general pattern recognition problem. The presented algorithm can find the closest match for a given sample within a number of samples which has already been introduced to the system. The fact of using averaging and fuzzy numbers in this method encourages that it may be a noise resistant recognition process. As a test bed, a problem of recognition of spoken words has been set forth to this algorithm. Test data contain clean and noisy samples and results have been compared to that of a widely used speech recognition method, HMM.

Paper Citation

in Harvard Style

Alemzadeh M., Bagheri Shouraki S. and Halavati R. (2006). FUZZY CLASSIFICATION BY MULTI-LAYER AVERAGING - An Application in Speech Recognition . In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-972-8865-61-0, pages 122-126. DOI: 10.5220/0001206001220126

in Bibtex Style

@conference{icinco06,
author={Milad Alemzadeh and Saeed Bagheri Shouraki and Ramin Halavati},
title={FUZZY CLASSIFICATION BY MULTI-LAYER AVERAGING - An Application in Speech Recognition},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2006},
pages={122-126},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001206001220126},
isbn={978-972-8865-61-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - FUZZY CLASSIFICATION BY MULTI-LAYER AVERAGING - An Application in Speech Recognition
SN - 978-972-8865-61-0
AU - Alemzadeh M.
AU - Bagheri Shouraki S.
AU - Halavati R.
PY - 2006
SP - 122
EP - 126
DO - 10.5220/0001206001220126