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

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.

References

  1. L. Lazli, M. Sellami. "Connectionist Probability Estimators in HMM Speech Recognition using Fuzzy Logic". MLDM 2003: the 3rd international conference on Machine Learning & Data Mining in pattern recognition, LNAI 2734, Springer-verlag, pp.379-388, July 5- 7, Leipzig, Germany, 2003.
  2. A-S. Dujardin. "Pertinence d'une approche hybride multineuronale dans la résolution de problèmes liés au diagnostic industrièle ou médical". Internal report, I2S laboratory, IUT of "Sénart Fontainebleau", University of Paris XII, Avenue Pierre Point, 77127 Lieusant, France, 2006.
  3. L. Lazli, A-N. Chebira, K. Madani. "Hidden Markov Models for Complex Pattern Classification". Ninth International Conference on Pattern Recognition and Information Processing, PRIP'07 may 22-24, Minsk, Belarus, 2007. http://uiip.basnet. by/conf/prip2007/ prip2007.php-id=200.htm
Download


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