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An Approach to Reduce Noise in Speech Signals Using an Intelligent System: BELBIC
Edet Bijoy K, Musfir Mohammed
Pages - 120 - 129     |    Revised - 01-07-2011     |    Published - 05-08-2011
Volume - 5   Issue - 3    |    Publication Date - July / August 2011  Table of Contents
BELBIC, Spectral Noise, Adaptive Filtering, Fundamental Frequency, Simulink
The two widespread concepts of noise reduction algorithms could be observed are spectral noise subtraction and adaptive filtering. They have the disadvantage that there is no parameter to distinguish between the speech and the noise components of same frequency. In this paper, an intelligent controller, BELBIC, based on mammalian limbic Emotional Learning algorithms is used for increasing the speech quality from a noisy environment. Here the learning ability to train the system to recognize and the output thus obtained would be the fundamental frequency of the speech spectrum thus reducing the noise level to minimum. The parameters on which the reduction of noise from the input speech spectrum depends have also been studied. The real time implementations have been done using Simulink and the results of the analysis thus obtained are included in the end.
CITED BY (2)  
1 Gonzalez-Delgado, L., Valencia-Redrovan, D., Robles-Bykbaev, V., Gonzalez-Delgado, N., & Panzner, T. (2014, October). Fuzzy controller for automatic microphone gain control in an autonomous support system for elderly. In e-Health Networking, Applications and Services (Healthcom), 2014 IEEE 16th International Conference on (pp. 77-81). IEEE.
2 Ravi, R., & Mija, S. J. (2014, May). Design of Brain Emotional Learning Based Intelligent Controller (BELBIC) for uncertain systems. In Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on (pp. 1089-1093). IEEE.
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Mr. Edet Bijoy K
MES College of Engineering - India
Mr. Musfir Mohammed
MES College of Engineering - India