A Proposed Biologically-Inspired Model to Analyze Signal Sound

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