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A soft computing approach for the memory storage of a sound signal processor

This paper tries to create a new biologically-inspired abstract model for the sound signal processing. The abstract model also shows the memory storage for the sound signal processor. This research adapts the functions from the biologically-inspired entities, which are the human auditory system and the human brain. This research aims to provide integrated and structured database to store the sound signal processing data. This research provides the framework to the implementation of the soft computing approach for the memory storage of a sound signal processor. This paper is a preliminary investigation paper. Therefore, this research creates the abstract model for the Biologically-Inspired Sound Signal Analyzer (BISSA) as a new idea for information gathering.