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Creating sound immission mimicking real-life characteristics from a single wind turbine

Thorsson, Pontus; Waye, Kerstin Persson; Ögren, Mikael; Smith, Michael; Pedersen, Eja LU and Forssén, Jens (2019) In Applied Acoustics 143. p.66-73
Abstract

This paper describes a method to synthesise wind turbine sounds to be used in sleep studies using a parameter-based synthesis. The parameter values were determined using recordings of several types of operating wind turbines, thorough investigations of the recorded sounds, previous reports on wind turbine sound characteristics, and acoustic knowledge on how sound properties change from source to an outdoor receiver. The different wind turbine types are shown in the paper to have characteristic amplitude modulation (AM) spectra, with different AM strengths in different 1/3 octave bands. The statistical levels of the AM are evaluated and the correlation between A-weighted AM and AM in individual 1/3 octave bands is evaluated using linear... (More)

This paper describes a method to synthesise wind turbine sounds to be used in sleep studies using a parameter-based synthesis. The parameter values were determined using recordings of several types of operating wind turbines, thorough investigations of the recorded sounds, previous reports on wind turbine sound characteristics, and acoustic knowledge on how sound properties change from source to an outdoor receiver. The different wind turbine types are shown in the paper to have characteristic amplitude modulation (AM) spectra, with different AM strengths in different 1/3 octave bands. The statistical levels of the AM are evaluated and the correlation between A-weighted AM and AM in individual 1/3 octave bands is evaluated using linear regression. Method tests of the proposed synthesis technique show that it performs well and that wind turbine sound signals that include arbitrary AM spectra can be created. The work was part of the research project WiTNES (Wind Turbine Noise Effects on Sleep).

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Amplitude modulation, Sleep study, Wind turbine noise
in
Applied Acoustics
volume
143
pages
8 pages
publisher
Elsevier
external identifiers
  • scopus:85053040820
ISSN
0003-682X
DOI
10.1016/j.apacoust.2018.08.015
language
English
LU publication?
yes
id
f1dac9d5-f9eb-427e-994f-2d6687389284
date added to LUP
2018-10-08 10:18:48
date last changed
2019-04-10 04:14:24
@article{f1dac9d5-f9eb-427e-994f-2d6687389284,
  abstract     = {<p>This paper describes a method to synthesise wind turbine sounds to be used in sleep studies using a parameter-based synthesis. The parameter values were determined using recordings of several types of operating wind turbines, thorough investigations of the recorded sounds, previous reports on wind turbine sound characteristics, and acoustic knowledge on how sound properties change from source to an outdoor receiver. The different wind turbine types are shown in the paper to have characteristic amplitude modulation (AM) spectra, with different AM strengths in different 1/3 octave bands. The statistical levels of the AM are evaluated and the correlation between A-weighted AM and AM in individual 1/3 octave bands is evaluated using linear regression. Method tests of the proposed synthesis technique show that it performs well and that wind turbine sound signals that include arbitrary AM spectra can be created. The work was part of the research project WiTNES (Wind Turbine Noise Effects on Sleep).</p>},
  author       = {Thorsson, Pontus and Waye, Kerstin Persson and Ögren, Mikael and Smith, Michael and Pedersen, Eja and Forssén, Jens},
  issn         = {0003-682X},
  keyword      = {Amplitude modulation,Sleep study,Wind turbine noise},
  language     = {eng},
  month        = {01},
  pages        = {66--73},
  publisher    = {Elsevier},
  series       = {Applied Acoustics},
  title        = {Creating sound immission mimicking real-life characteristics from a single wind turbine},
  url          = {http://dx.doi.org/10.1016/j.apacoust.2018.08.015},
  volume       = {143},
  year         = {2019},
}