Comparison the Performance of Hybrid HMM/MLP and RBF/LVQ ANN Models - Application for Speech and Medical Pattern Classification

Lilia Lazli, Mounir Boukadoum, Abdennasser Chebira, Kurosh Madani

2012

Abstract

In the last several years, the hybrid models have become increasingly popular. We use involves multi-network RBF/LVQ structure and hybrid HMM/MLP model for speech recognition and medical diagnosis.

Paper Citation

in Harvard Style

Lazli L., Boukadoum M., Chebira A. and Madani K. (2012). Comparison the Performance of Hybrid HMM/MLP and RBF/LVQ ANN Models - Application for Speech and Medical Pattern Classification . In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ANNIIP, (ICINCO 2012) ISBN 978-989-8565-21-1, pages 659-662. DOI: 10.5220/0004133706590662

in Bibtex Style

@conference{anniip12,
author={Lilia Lazli and Mounir Boukadoum and Abdennasser Chebira and Kurosh Madani},
title={Comparison the Performance of Hybrid HMM/MLP and RBF/LVQ ANN Models - Application for Speech and Medical Pattern Classification},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ANNIIP, (ICINCO 2012)},
year={2012},
pages={659-662},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004133706590662},
isbn={978-989-8565-21-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ANNIIP, (ICINCO 2012)
TI - Comparison the Performance of Hybrid HMM/MLP and RBF/LVQ ANN Models - Application for Speech and Medical Pattern Classification
SN - 978-989-8565-21-1
AU - Lazli L.
AU - Boukadoum M.
AU - Chebira A.
AU - Madani K.
PY - 2012
SP - 659
EP - 662
DO - 10.5220/0004133706590662