Engineering Acoustics. Malcolm J. Crocker

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Название Engineering Acoustics
Автор произведения Malcolm J. Crocker
Жанр Техническая литература
Серия
Издательство Техническая литература
Год выпуска 0
isbn 9781118693827



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alt="Graphs depict the relations between bark scale and frequency scale."/> Graph depicts the masking patterns of narrow-band noises centered at different frequencies fm.

      An approximate analytical expression for auditory frequency in barks as a function of auditory frequency in hertz is given by [43]

      Care should be taken to note that the ear does not hear sounds at a fixed number of fixed center frequencies as might be suspected from Figure 4.20. Rather, at any frequency fm considered, the average ear has a given bandwidth.

      Example 4.6

      Convert f = 6 kHz into its corresponding value in bark.

      Solution

      4.3.8 Zwicker Loudness

      The loudness of sounds was discussed in Sections 4.3.2 and 4.3.5, where it was shown that A‐weighted sound pressure level measurements underestimate the loudness of broadband noise. (See Figure 4.16.) Methods to evaluate the loudness of broadband noise based on multiband frequency analysis have been devised by Stevens [44], Kryter [16], and Zwicker [12]. The Stevens method was originally based on octave band analysis, but Kryter's and Zwicker's methods are based on one‐third octave band analysis. Kryter's method has been standardized for aircraft certification noise measurements, while Zwicker's method has been standardized internationally and is most normally used to evaluate the loudness of many common sound sources including speech, music, machinery, and vehicles.

Schematic illustration of (a, b, and c) Zwicker's loudness model. Schematic illustration of temporal effects in loudness processing.

      Figure 4.22 is constructed by assuming that the hearing mechanism behaves like a parallel bank of 24 critical band filters. Figure 4.22b represents the processing of the loudness in each of the 24 channels of an empirical loudness meter used to model the hearing mechanism. Finally, Figure 4.22c shows the time dependence of the total loudness summed up over all 24 channels of the empirical loudness meter. Figure 4.22b shows that the short 10‐ms tone burst decays much more rapidly than the 100‐ms tone burst. The results shown in Figures 4.21 and 4.22 are important in evaluating the sound quality of machinery that has impulsive noise components, such as diesel engines and machines in which impacts occur.

      4.3.9 Loudness Adaptation

      4.3.10 Empirical Loudness Meter