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 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).