Bin Hamzah, H.I. and Bin Abdullah, A. (2009) A new abstraction model for biologically-inspired sound signal analyzer. In: UNSPECIFIED.
Full text not available from this repository.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 as a new idea 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 biologicallyinspired sound signal analyzer (BISSA). © 2009 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 1; Conference of 2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 ; Conference Date: 4 October 2009 Through 6 October 2009; Conference Code:79286 |
Uncontrolled Keywords: | Abstraction model; Computational process; Frequency signals; Human brain; Human ear; Noise filtering; Sound signal, Abstracting; Brain; Information retrieval; Information services; Research; Spurious signal noise, Industrial electronics |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:48 |
Last Modified: | 09 Nov 2023 15:48 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/529 |