Extended simulations of wind noise contamination of amplitude modulation ratings

von Hünerbein, S ORCID: https://orcid.org/0000-0003-1796-7173, Kendrick, P ORCID: https://orcid.org/0000-0002-0714-183X and Cox, TJ ORCID: https://orcid.org/0000-0002-4075-7564 2017, Extended simulations of wind noise contamination of amplitude modulation ratings , in: Wind Turbine Noise 2017, 2 -5 May 2017, Rotterdam, NL.

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Abstract

Microphone wind noise can corrupt outdoor measurements and recordings and especially the rating of Amplitude Modulation (AM) depth. In a previous study simulations of synthesised wind turbine sounds in wind noise have shown that even at relatively low wind speeds of 2.5 m/s AM rating errors of over 4 dBA can result. Microphone wind noise is intermittent, and consequently one solution is to analyse only uncorrupted parts of the recordings which has been shown to be an efficient way of recovering the true AM metrics. In the current study more wind noise only stimuli have been used to evaluate the probability of false positives in AM ratings. In wind turbine noise between 42% and 61% of the stimuli were rated at 0 dBA modulation depth in the presence of wind noise. Where wind noise only was used about 11% of the stimuli resulted in valid AM ratings. Further work is required to clarify points on perception and the nature of real recordings with increased variability.

Item Type:	Conference or Workshop Item (Paper)
Schools:	Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title:	Proceedings, Wind Turbine Noise 2017
Publisher:	INCE Europe
Depositing User:	Dr Sabine von Hünerbein
Date Deposited:	15 Feb 2019 15:18
Last Modified:	19 Feb 2019 15:02
URI:	http://usir.salford.ac.uk/id/eprint/50090

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