A new abstraction model for biologically-inspired sound signal analyzer

Abstract

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 as a new idea 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 biologicallyinspired sound signal analyzer (BISSA).

Biologically inspired emotion recognition from speech

“…The basic idea of the proposed approach is to use biologically inspired models not only for emotion recognition but also for signal representation. This is in line with recent study in the literature, which faced the problem to model and recognize the sound on the basis of the human ear and human brain studies [6]. Specifically, our idea is to use a classifier, modeled on the human brain combined with a signal representation modeled on the human auditory system.…”