Metrics of Expression of Results in Environmental Noise Monitoring Processing: Machine Learning Approach

E. Moke Aman, A. Lay-Ekuakille, S. Kidiamboko Guwa Gwa Band, J. Djungha Okadiowo

Abstract

Although modern instruments for environmental noise are equipped with sophisticated devices, the accuracy and uncertainty for discriminating a source from another one, hence a group from another, depend upon the variability of the signal content. Conventional techniques exhibit limits for this kind of variability. The paper proposes an approach according to machine learning technique for processing different levels of environmental noise, classifying them.

Keywords

Environmental noise measurement, Machine learning, Spectral analysis, Signal processing, Artificial intelligence

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IMEKO-TC19-2019-08.pdf

DOI

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IMEKO TC

TC19 - Environmental Measurements

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