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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
Published in Signal Processing: An International Journal (SPIJ)
MORE INFORMATION
KEYWORDS
BELBIC, Spectral Noise, Adaptive Filtering, Fundamental Frequency, Simulink
ABSTRACT
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.
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Mr. Edet Bijoy K
MES College of Engineering - India
Mr. Musfir Mohammed
MES College of Engineering - India
mohammed.musfir@ieee.org
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