A Proposed Model of Biologically-Inspired Sound Signal Analyzer

Sound is one of the media that brings
information to human. However this information also
distracted by noises that surround us. How human brain
recognizes to the required sound is very much
impressive. Vice versa, the human brain can learn to the
new sound. Thus, we can just concentrate to the sound
that we want to listen only. For instance, when two
human communicate each other, to be precise in a loud
area such as at the market, both are paying attention
merely to the conversation of what they are talking.
Here, in this situation, human without notice can filter
the unintended noise and only recognize to the
particular sound we wanted to listen only. Hence, 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 signal sound and the cochlea
filters the signal frequency. Subsequently, the brain is
capable to identify on the required sound by
recognizing and learning the signal sound. Therefore,
with the analysis of the biologically-inspired entities,
this research investigates the capability requirements to
develop the biologically-inspired signal sound analyzer
(BISSA) as a new idea for information gathering.