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Sound Quality Metric Indicators of Rotorcraft Noise Annoyance Using Multilevel Regression Analysis

The Journal of the Acoustical Society of America, 2019-03, Vol.145 (3), p.1899-1899 [Peer Reviewed Journal]

Copyright Determination: GOV_PUBLIC_USE_PERMITTED ;Acoustical Society of America ;ISSN: 0001-4966 ;EISSN: 1520-8524 ;DOI: 10.1121/1.5101884 ;CODEN: JASMAN

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  • Title:
    Sound Quality Metric Indicators of Rotorcraft Noise Annoyance Using Multilevel Regression Analysis
  • Author: Boucher, Matthew ; Krishnamurthy, Siddhartha ; Christian, Andrew ; Rizzi, Stephen A
  • Subjects: Acoustics
  • Is Part Of: The Journal of the Acoustical Society of America, 2019-03, Vol.145 (3), p.1899-1899
  • Description: Although every helicopter in operation has to go through a noise certification process, annoyance due to helicopters still persists within various communities. This implies that certification metrics do not capture the full range of human response and that predicted reactions could be supplemented with other information, which could be acoustic or non-acoustic in nature. The rotorcraft sound quality metric (RoQM) psychoacoustic experiment was designed to determine the relative importance of sound quality metrics (SQMs), such as sharpness, tonality, loudness, fluctuation strength and impulsiveness, on human annoyance to rotorcraft sounds. Starting from a baseline helicopter recording, SQMs were varied synthetically and presented to subjects who responded with an annoyance rating. The RoQM test took place in 2017 at the NASA Langley Research Center in the Exterior Effects Room. A total of 105 sounds were played to 40 subjects. The relationship between helicopter noise sound quality and annoyance is modeled using multilevel regression in this work, which takes into account the variability of responses across subjects. Previous analyses did not consider such a grouping of the data.
  • Publisher: Langley Research Center: Acoustical Society of America
  • Language: English
  • Identifier: ISSN: 0001-4966
    EISSN: 1520-8524
    DOI: 10.1121/1.5101884
    CODEN: JASMAN
  • Source: NASA Technical Reports Server
    Alma/SFX Local Collection
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