Annoyance of wind-turbine noise as a function of amplitude-modulation parameters

    Research output: Contribution to conferencePaperResearchpeer-review


    Amplitude modulation (AM) has been suggested as an important factor for the perceived annoyance of wind-turbine noise (WTN). Two AM types, typically referred to as “normal AM” and “other AM,” depending on the AM extent and frequency region, have been proposed to characterize WTN AM. The extent to which AM depth, frequency, and type affect WTN annoyance is a matter of debate. In most subjective studies, the temporal variations of WTN AM have not been considered. Here, a sinusoidally modulated WTN model accounting for temporal AM variations was used to generate realistic artificial stimuli in which the AM depth, frequency, and type, while determined from real on-site recordings, could be varied systematically. Subjective listening tests with such stimuli showed that a reduction in AM depth, quantified by the modulation depth spectrum, led to a significant decrease in annoyance. When the spectrotemporal characteristics of the original far-field stimuli were included in the model and the temporal AM variations were taken into account by varying the modulation index over time, neither AM frequency nor AM type were found to significantly affect annoyance. These findings suggest that the effect of AM parameters on WTN annoyance may depend on the intermittent nature of WTN AM
    Original languageEnglish
    Publication date2015
    Publication statusPublished - 2015
    Event169th Meeting of the Acoustical Society of America - Wyndham Grand Pittsburgh Downtown Hotel, Pittsburgh, United States
    Duration: 18 May 201522 May 2015
    Conference number: 169


    Conference169th Meeting of the Acoustical Society of America
    LocationWyndham Grand Pittsburgh Downtown Hotel
    Country/TerritoryUnited States


    • Spectral properties


    Dive into the research topics of 'Annoyance of wind-turbine noise as a function of amplitude-modulation parameters'. Together they form a unique fingerprint.

    Cite this