Biologically-Inspired Modeling of Filtering Noise in Signal Sound

Sound is one of the media that brings information to human but it is also distracted by noises that surround us. Human listens to the noise through the ear and the brain learns and recognizes the signal sound. The process to filter the noise is done in the middle ear, to be precise the cochlea....

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Main Authors: Hammuzamer , Irwan, Azween, Abdullah
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/758/
http://scholars.utp.edu.my/id/eprint/758/1/cita_conference.pdf
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author Hammuzamer , Irwan
Azween, Abdullah
author_facet Hammuzamer , Irwan
Azween, Abdullah
author_sort Hammuzamer , Irwan
building UTP Institutional Repository
collection Online Access
description Sound is one of the media that brings information to human but it is also distracted by noises that surround us. Human listens to the noise through the ear and the brain learns and recognizes the signal sound. The process to filter the noise is done in the middle ear, to be precise the cochlea. However, to focus on a desired resonance from the noises to obtain the desired signal sound, the process to decide on this signal sound is made in the brain, and then the brain generates the result. In addition to that matter, there are certain processes need to be encountered before the result is produced such as, learning and recognizing the sound. As for that reason, this research creates a new idea of gaining data using signal sound. The main objective of this research is to develop a process to remove signal noise using concurrent algorithm. This process is inspired by the human biological body parts which are; the human ear as the filtering mechanism, and the human brain as the processing mechanism. Hence, this research elaborates the development of signal noise removal model inspired by the human ear and human brain
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institution Universiti Teknologi Petronas
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language English
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spelling oai:scholars.utp.edu.my:7582017-01-19T08:25:41Z http://scholars.utp.edu.my/id/eprint/758/ Biologically-Inspired Modeling of Filtering Noise in Signal Sound Hammuzamer , Irwan Azween, Abdullah QA75 Electronic computers. Computer science Sound is one of the media that brings information to human but it is also distracted by noises that surround us. Human listens to the noise through the ear and the brain learns and recognizes the signal sound. The process to filter the noise is done in the middle ear, to be precise the cochlea. However, to focus on a desired resonance from the noises to obtain the desired signal sound, the process to decide on this signal sound is made in the brain, and then the brain generates the result. In addition to that matter, there are certain processes need to be encountered before the result is produced such as, learning and recognizing the sound. As for that reason, this research creates a new idea of gaining data using signal sound. The main objective of this research is to develop a process to remove signal noise using concurrent algorithm. This process is inspired by the human biological body parts which are; the human ear as the filtering mechanism, and the human brain as the processing mechanism. Hence, this research elaborates the development of signal noise removal model inspired by the human ear and human brain 2009 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/758/1/cita_conference.pdf Hammuzamer , Irwan and Azween, Abdullah (2009) Biologically-Inspired Modeling of Filtering Noise in Signal Sound. In: 6th International Conference on Information Technology in Asia (CITA’09) UNIMAS , 19-20 December 2009. , Indonesia .
spellingShingle QA75 Electronic computers. Computer science
Hammuzamer , Irwan
Azween, Abdullah
Biologically-Inspired Modeling of Filtering Noise in Signal Sound
title Biologically-Inspired Modeling of Filtering Noise in Signal Sound
title_full Biologically-Inspired Modeling of Filtering Noise in Signal Sound
title_fullStr Biologically-Inspired Modeling of Filtering Noise in Signal Sound
title_full_unstemmed Biologically-Inspired Modeling of Filtering Noise in Signal Sound
title_short Biologically-Inspired Modeling of Filtering Noise in Signal Sound
title_sort biologically-inspired modeling of filtering noise in signal sound
topic QA75 Electronic computers. Computer science
url http://scholars.utp.edu.my/id/eprint/758/
http://scholars.utp.edu.my/id/eprint/758/1/cita_conference.pdf