Thesis

Subjective annoyance judgments of impulsive helicopter noise signals

Twenty subjects rated the annoyance of helicopter noise signals using two psychophysical procedures. Various noise measures were applied to simulated helicopter signals used in prior research to determine the most effective means of accounting for the increased annoyance caused by the impulsiveness of the signals. A-level was the least effective predictor of the annoyance of the helicopter signals. EPNL, PNL, and PNLT performed equally well, producing better predictions of annoyance than A-level. However, PNLT plus an impulsive correction proved to be the most effective of the five noise measures in predicting subjective ratings of annoyance of helicopter signals.

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