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Biologically-Inspired Abstraction Model to Analyze Sound Signal

Hammuzamer Irwan , Hamzah and Azween, Abdullah (2008) Biologically-Inspired Abstraction Model to Analyze Sound Signal. In: 2009 Student Conference on Research and Development (SCOReD 2009),, 16-18 Nov. 2009, UPM Serdang, Malaysia.

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Abstract

This research studies 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 maps the biologicallyinspired ability to computational process then develops a conceptual model and a system model. From that, the research continues with the creation of the proposed algorithm for the sound signal analyzer. The research aims to generate faster and more detailed results as well as to achieve better accuracy in producing definite sound for information retrieval. Therefore, this research creates biologically-inspired sound signal analyzer (BISSA).

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:869
Deposited By: Assoc Prof Dr Azween Abdullah
Deposited On:25 Mar 2010 01:58
Last Modified:19 Jan 2017 08:26

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