一种新的仿生声信号分析仪抽象模型

Hammuzamer Irwan Hamzah, A. Abdullah
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引用次数: 2

摘要

本文以人耳和人脑作为声音分析的新思路。确切地说,是人的耳朵;鼓膜检测声音信号,耳蜗过滤频率信号。随后,大脑能够识别和学习声音信号。这项研究将受生物学启发的能力映射到计算过程中,然后开发了一个抽象模型。该模型为获取声音信号分析仪的性能需求提供了指导,为信息检索提供了一种新思路。这项研究的目的是产生更快、更详细的结果,并在产生明确的声音时达到更好的准确性。为此,本研究提出了一种人耳和人脑的抽象模型来开发生物启发声信号分析仪(BISSA)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new abstraction model for biologically-inspired sound signal analyzer
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 biologically-inspired sound signal analyzer (BISSA).
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