Logo

A New Abstraction Model for Biologically- Inspired Sound Signal Analyzer

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.

This is the latest version of this item.

[img] PDF
Restricted to Registered users only

378Kb

Abstract

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).

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Academic Subject Three:petroleum engineering, geosciences
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:2265
Deposited By: Assoc Prof Dr Azween Abdullah
Deposited On:24 May 2010 08:08
Last Modified:20 Mar 2017 01:56

Available Versions of this Item

Repository Staff Only: item control page

Document Downloads

More statistics for this item...