Automatic Recognition of Aircraft Noise with PLP Method

Ding, Jian Li; Yang, Yong

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Home > Applied Mechanics and Materials > Advances in Intelligent Structure and Vibration... > Automatic Recognition of Aircraft Noise with PLP...

Paper Title:

Automatic Recognition of Aircraft Noise with PLP Method

Periodical	Applied Mechanics and Materials (Volume 160)
Main Theme	Advances in Intelligent Structure and Vibration Control
Edited by	Aimin Yang and Wenjiang Du
Pages	145-149
DOI	10.4028/www.scientific.net/AMM.160.145
Citation	Jian Li Ding et al., 2012, Applied Mechanics and Materials, 160, 145
Online since	March, 2012
Authors	Jian Li Ding, Yong Yang
Keywords	Aircraft Noise Monitoring, Gammatone Filter, Perceptual Linear Predictive, Support Vector Machine (SVM)
Price	US$ 28,-

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Abstract

This paper proposes a modified auditory feature extraction algorithm based on perceptual linear predictive analysis which is more suitable for automatic recognition of aircraft noise. In this algorithm, a different distribution of filter-bank is introduced in order to fit the physical characteristic of aircraft noise and the result shows that the modified method indeed performs better. The effect of Gammatone filter in improving the robustness of recognition algorithm is also demonstrated in the experiment.