Biologically-Inspired Abstraction Model to Analyze Sound Signal

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).