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| An Approach to Reduce Noise in Speech Signals Using an Intelligent System: BELBIC
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Full
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 PDF(865.9KB) |
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Source |
Signal Processing: An International Journal (SPIJ) |
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Table of Contents |
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Download
Complete Issue PDF(1.93MB) |
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Volume: 5 Issue: 3 |
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Pages: NULL |
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Publication
Date: July / August 2011 |
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ISSN
(Online): 1985-2339 |
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Pages |
120 - 129 |
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Author(s) |
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Published
Date |
05-08-2011 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: BELBIC, Spectral Noise, Adaptive Filtering, Fundamental Frequency, Simulink |
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| This Manuscript is indexed in the following databases/websites:- |
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| 1. Directory of Open Access Journals (DOAJ) |
| 2. Google Scholar |
| 3. Scribd |
| 4. Docstoc |
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| 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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| Edet Bijoy K : Colleagues
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| Musfir Mohammed : Colleagues
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