A New Abstraction Model for Biologically- Inspired Sound Signal Analyzer
This paper studied the human ear and human brain as a new idea to analyze sound. The human ear to be exact; the eardrum detects the sound signal and the cochlea filters the frequency signal. Subsequently, the brain is capable to recognize and learn the sound signal. This research mapped the bio...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/2265/ http://scholars.utp.edu.my/id/eprint/2265/1/5._isiea09_-_paper_-_hammuzamer.pdf |
| _version_ | 1848659220716584960 |
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| author | Hammuzamer Irwan , Hamzah Azween, Abdullah |
| author_facet | Hammuzamer Irwan , Hamzah Azween, Abdullah |
| author_sort | Hammuzamer Irwan , Hamzah |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | This paper studied the human ear and human
brain as a new idea to analyze sound. The human ear to be
exact; the eardrum detects the sound signal and the cochlea
filters the frequency signal. Subsequently, the brain is
capable to recognize and learn the sound signal. This
research mapped the biologically-inspired ability to
computational process then developed an abstraction model.
From this model it provided a guideline to obtain the
capability requirements for the of sound signal analyzer for
information retrieval. The research aims to generate faster
and more detailed results as well as to achieve better
accuracy in producing definite sound. Therefore, this
research proposed an abstraction model of human ear and
human brain to developed biologically-inspired sound signal
analyzer (BISSA). |
| first_indexed | 2025-11-13T07:26:58Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:2265 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:26:58Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:22652017-03-20T01:56:58Z http://scholars.utp.edu.my/id/eprint/2265/ A New Abstraction Model for Biologically- Inspired Sound Signal Analyzer Hammuzamer Irwan , Hamzah Azween, Abdullah QA75 Electronic computers. Computer science This paper studied the human ear and human brain as a new idea to analyze sound. The human ear to be exact; the eardrum detects the sound signal and the cochlea filters the frequency signal. Subsequently, the brain is capable to recognize and learn the sound signal. This research mapped the biologically-inspired ability to computational process then developed an abstraction model. From this model it provided a guideline to obtain the capability requirements for the of sound signal analyzer for information retrieval. The research aims to generate faster and more detailed results as well as to achieve better accuracy in producing definite sound. Therefore, this research proposed an abstraction model of human ear and human brain to developed biologically-inspired sound signal analyzer (BISSA). 2009 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2265/1/5._isiea09_-_paper_-_hammuzamer.pdf Hammuzamer Irwan , Hamzah and Azween, Abdullah (2009) A New Abstraction Model for Biologically- Inspired Sound Signal Analyzer. In: 2009 IEEE Symposium on Industrial Electronics and Applications (ISIEA), October 4-6, 2009, Kuala Lumpur, Malaysia. |
| spellingShingle | QA75 Electronic computers. Computer science Hammuzamer Irwan , Hamzah Azween, Abdullah A New Abstraction Model for Biologically- Inspired Sound Signal Analyzer |
| title | A New Abstraction Model for Biologically- Inspired Sound Signal Analyzer |
| title_full | A New Abstraction Model for Biologically- Inspired Sound Signal Analyzer |
| title_fullStr | A New Abstraction Model for Biologically- Inspired Sound Signal Analyzer |
| title_full_unstemmed | A New Abstraction Model for Biologically- Inspired Sound Signal Analyzer |
| title_short | A New Abstraction Model for Biologically- Inspired Sound Signal Analyzer |
| title_sort | new abstraction model for biologically- inspired sound signal analyzer |
| topic | QA75 Electronic computers. Computer science |
| url | http://scholars.utp.edu.my/id/eprint/2265/ http://scholars.utp.edu.my/id/eprint/2265/1/5._isiea09_-_paper_-_hammuzamer.pdf |