Multi-input Multi-output Beta Wavelet Network: Modeling of Acoustic Units for Speech Recognition

Abstract: in this paper, we propose a novel architecture of wavelet network called Multi-input Multi-output Wavelet Network MIMOWN as a generalization of the old architecture of wavelet network. This newel prototype was applied to speech recognition application especially to model acoustic unit of speech. The originality of our work is the proposal of MIMOWN to model acoustic unit of speech. This approach was proposed to overcome limitation of old wavelet network model. The use of the multi-input multi-output architecture will allows training wavelet network on various examples of acoustic units.

Ridha Ejbali, Mourad Zaied and Chokri Ben Amar. “Multi-input Multi-output Beta Wavelet Network: Modeling of Acoustic Units for Speech Recognition”. International Journal of Advanced Computer Science and Applications (IJACSA) 3.4 (2012). http://dx.doi.org/10.14569/IJACSA.2012.030407

@article{Ejbali2012,
title = {Multi-input Multi-output Beta Wavelet Network: Modeling of Acoustic Units for Speech Recognition},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.030407},
url = {http://dx.doi.org/10.14569/IJACSA.2012.030407},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {4},
author = {Ridha Ejbali and Mourad Zaied and Chokri Ben Amar}
}