Laboratory Evaluation of Annoyance of Low Frequency Noise 5. Objective Analysis of the Noise Examples
5.1 One-third octave spectraBased on the 1/3-octave analysis of the noise at the listening position in the listening room, a range of objective measurements have been made for each noise example. All the levels and spectra are given in Annex B. As an example, the spectrum of the traffic noise is shown in Figure 5 below. The spectrum is shown for the three nominal presentation levels: 35 dB(A), 27,5 dB(A) and 20 dB(A). The spectrum is a typical low frequency spectrum with a maximum around 20 Hz. The spectra of the other noise signals are shown in Annex B. Figure 5. 5.2 Comparison to criterion curvesIn this section the different objective measures, resulting from the different assessment methods are discussed. The discussion is limited to the results from the presentations at the highest level 35 dB, since there are no systematic differences between these results and the results from the two presentations of the same noises at lower levels (apart from the change in level). The objective results are used as parameters in the comparison with the subjective evaluation, Chapter 6. In Table 7 it is shown for each noise example how much each of the criterion curves is exceeded, and at which frequency the highest excess occurred. Also the Danish measure LpA,LF is given, and the German A-weighted level (of the frequency bands exceeding the hearing threshold) Table 7.
It is generally seen that the Swedish and / or the Sloven method gives less excess than the German method, the Polish method, or the Dutch method (for audibility). With a view to the Polish method, it has to be remembered that the background noise criterion, which normally will relieve the criterion curve at higher frequencies, has not been considered here. Furthermore the German criterion curve has not been used correctly in this comparison: firstly it only applies to tones in the noise, and secondly the German method specifically mentions a relief of the criterion curve in the 80 and 100 Hz bands which was not applied here. Finally, the Dutch method (for audibility) is not a method for assessing annoyance, so it is not surprising that it gives a stronger assessment than some of the other methods.
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