Dr Sabine Von-Hunerbein S.VonHunerbein@salford.ac.uk
Senior Lecturer
Extended simulations of wind noise contamination of amplitude modulation ratings
von Hünerbein, S; Kendrick, P; Cox, TJ
Authors
P Kendrick
Prof Trevor Cox T.J.Cox@salford.ac.uk
Professor
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.
Citation
von Hünerbein, S., Kendrick, P., & Cox, T. (2017, May). Extended simulations of wind noise contamination of amplitude modulation ratings. Presented at Wind Turbine Noise 2017, Rotterdam, NL
Presentation Conference Type | Other |
---|---|
Conference Name | Wind Turbine Noise 2017 |
Conference Location | Rotterdam, NL |
Start Date | May 2, 2017 |
End Date | May 5, 2017 |
Publication Date | May 2, 2017 |
Deposit Date | Feb 15, 2019 |
Publisher URL | https://www.windturbinenoise.eu/content/conferences/1-wind-turbine-noise-2017/ |
Additional Information | Event Type : Conference |
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