Dr Sabine Von-Hunerbein S.VonHunerbein@salford.ac.uk
Senior Lecturer
Automatic detection of microphone wind noise : maximising accuracy of amplitude modulation ratings
von Hünerbein, S; Cox, TJ; Kendrick, P; Bradley, S
Authors
Prof Trevor Cox T.J.Cox@salford.ac.uk
Professor
P Kendrick
S Bradley
Abstract
Microphone wind noise can corrupt outdoor measurements and recordings. It is a particular problem for wind turbine measurements because these cannot be carried out when the wind speed is low. Wind shields can be used, but often the sound level from the turbine is low and even the most efficient shields may not provide sufficient attenuation of the microphone wind noise. This study starts by quantifying the effect that microphone wind noise has on the accuracy of two commonly used Amplitude Modulation (AM) metrics. A wind noise simulator and synthesised wind turbine sounds based on real measurements are used. The simulations show that even relatively low wind speeds of 2.5 m/s 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. This paper tests whether a single-ended wind noise detection algorithm can automatically find uncorrupted sections of the recording, and so recover the true AM metrics. Tests showed that doing this can reduce the error to ±2 dBA and ±0.5 dBA for the time and modulation-frequency domain AM metrics respectively. The paper goes on to validate the simulation approach by applying the automatic detection to near field recordings from various adjacent microphones in combination with high quality meteorological mast measurements within 40m of the microphones and wind turbines.
Citation
von Hünerbein, S., Cox, T., Kendrick, P., & Bradley, S. Automatic detection of microphone wind noise : maximising accuracy of amplitude modulation ratings. Presented at Wind Turbine Sound 2016, Gdansk, Poland
Presentation Conference Type | Speech |
---|---|
Conference Name | Wind Turbine Sound 2016 |
Conference Location | Gdansk, Poland |
End Date | Nov 18, 2016 |
Publication Date | Nov 17, 2016 |
Deposit Date | Dec 13, 2016 |
Publicly Available Date | Dec 13, 2016 |
Publisher URL | https://windeurope.org/workshops/wind-turbine-sound-2016/ |
Additional Information | Event Type : Workshop |
Files
1-3. Von Hunerbein.pdf
(999 Kb)
PDF
You might also like
The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss
(2023)
Conference Proceeding
Overview of the 2023 ICASSP SP Clarity Challenge: Speech Enhancement for Hearing Aids
(2023)
Journal Article
Improving the measurement and acoustic performance of transparent face masks and shields
(2022)
Journal Article
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search