A Proposed Application Model for a Biologically-Inspired Sound Signal Analyzer

idea to analyze sound. The human ear to be exact; the eardrum detects the signal sound and the cochlea filters the signal frequency. Subsequently, the brain is capable to identify on the required sound by recognizing and learning the signal sound. Therefore, with the analysis of the biologicall...

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Main Authors: Hammuzamer, Irwan, Azween, Abdullah
Format: Conference or Workshop Item
Published: 2009
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Online Access:http://eprints.utp.edu.my/764/1/8._rovisp09_-_paper_-_hammuzamer.pdf
http://eprints.utp.edu.my/764/
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spelling my.utp.eprints.7642017-01-19T08:25:41Z A Proposed Application Model for a Biologically-Inspired Sound Signal Analyzer Hammuzamer, Irwan Azween, Abdullah QA75 Electronic computers. Computer science idea to analyze sound. The human ear to be exact; the eardrum detects the signal sound and the cochlea filters the signal frequency. Subsequently, the brain is capable to identify on the required sound by recognizing and learning the signal sound. Therefore, with the analysis of the biologically-inspired entities, this research investigates the capability requirements to develop the biologically-inspired signal sound analyzer (BISSA) as a new idea for information gathering. With the analysis of biologically-inspired concept, it could bring to a way of sustaining engineers of tomorrow since the nature around us provides million of solution in our everyday life. Hence, this paper created a conceptual model to show how BISSA can be developed. 2009 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/764/1/8._rovisp09_-_paper_-_hammuzamer.pdf Hammuzamer, Irwan and Azween, Abdullah (2009) A Proposed Application Model for a Biologically-Inspired Sound Signal Analyzer. In: The Seventh International Conference on Robotic, Vision, Signal Processing, & Power Applications (RoViSP 2009), 19-20 December 2009. , Langkawi, Kedah, MALAYSIA . http://eprints.utp.edu.my/764/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Hammuzamer, Irwan
Azween, Abdullah
A Proposed Application Model for a Biologically-Inspired Sound Signal Analyzer
description idea to analyze sound. The human ear to be exact; the eardrum detects the signal sound and the cochlea filters the signal frequency. Subsequently, the brain is capable to identify on the required sound by recognizing and learning the signal sound. Therefore, with the analysis of the biologically-inspired entities, this research investigates the capability requirements to develop the biologically-inspired signal sound analyzer (BISSA) as a new idea for information gathering. With the analysis of biologically-inspired concept, it could bring to a way of sustaining engineers of tomorrow since the nature around us provides million of solution in our everyday life. Hence, this paper created a conceptual model to show how BISSA can be developed.
format Conference or Workshop Item
author Hammuzamer, Irwan
Azween, Abdullah
author_facet Hammuzamer, Irwan
Azween, Abdullah
author_sort Hammuzamer, Irwan
title A Proposed Application Model for a Biologically-Inspired Sound Signal Analyzer
title_short A Proposed Application Model for a Biologically-Inspired Sound Signal Analyzer
title_full A Proposed Application Model for a Biologically-Inspired Sound Signal Analyzer
title_fullStr A Proposed Application Model for a Biologically-Inspired Sound Signal Analyzer
title_full_unstemmed A Proposed Application Model for a Biologically-Inspired Sound Signal Analyzer
title_sort proposed application model for a biologically-inspired sound signal analyzer
publishDate 2009
url http://eprints.utp.edu.my/764/1/8._rovisp09_-_paper_-_hammuzamer.pdf
http://eprints.utp.edu.my/764/
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score 13.211869