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Introduction to Acoustics

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60<br />

40<br />

20<br />

0<br />

SPL–sound pressure level (dB)<br />

A<br />

B<br />

0.02 0.5 0.1 0.2 0.5 1 2 5 10 20<br />

Frequency (kHz)<br />

Fig. 18.4 Frequency Domain Masking: Curve A is hearing<br />

threshold with no signal present. Curve B is revised threshold<br />

in presence of 1 kHz <strong>to</strong>ne C. Signal D, rising above<br />

curve A but below curve B, will be audible by itself but<br />

masked by signal C<br />

<strong>to</strong> render an existing component less audible, a process<br />

referred <strong>to</strong> as masking.<br />

The basic notion of masking is that a louder sound<br />

will tend <strong>to</strong> render as less audible or inaudible a softer<br />

sound that would otherwise be audible in isolation. The<br />

degree of masking will tend <strong>to</strong> depend in part on the<br />

frequency spacing of the spectral components in question.<br />

This gives rise <strong>to</strong> the notion of a pro<strong>to</strong>type masking<br />

curve, delineating the threshold of audibility in the presence<br />

of a sine wave of some frequency and amplitude,<br />

as a function of frequency, as shown in Fig. 18.4.<br />

To at least first-order approximation, the masking<br />

effect of two or more sine waves can be calculated by<br />

summing their respective individual masking curves.<br />

Since, from Fourier theory, any signal can be decomposed<br />

in<strong>to</strong> a sum of sinusoids, a composite masking<br />

curve from an arbitrary signal can be calculated as the<br />

sum of the masking curves of each spectral component.<br />

This constitutes a convolution (filtering operation) of<br />

a pro<strong>to</strong>type masking curve with the signal spectrum. In<br />

practice, the pro<strong>to</strong>type masking curve used for the convolution<br />

is likely <strong>to</strong> vary as a function of frequency,<br />

amplitude, or signal type (noise versus sine wave). Further,<br />

nonlinearities in the ear may result in significant<br />

deviations from the predicted curve at times.<br />

Although the masking effect of a signal is, quite<br />

logically, maximized while the signal is present, some<br />

residual of the masking effect will extend beyond the<br />

termination of the signal, and even slightly before its<br />

onset. This process is referred <strong>to</strong> as temporal masking,<br />

and typical behavior is illustrated in Fig. 18.5) [18.18].<br />

C<br />

D<br />

Audio and Electroacoustics 18.2 The Psychoacoustics of Audio and Electroacoustics 749<br />

Sound pressure level (dB)<br />

Pre-masking<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

Simultaneous masking Post-masking<br />

–60 –40–20<br />

0<br />

20<br />

40<br />

160 180<br />

0<br />

20<br />

Fig. 18.5 Temporal masking characteristic<br />

18.2.3 Timing<br />

40 60 80 100 120 140 160<br />

t (ms)<br />

Because the transduction structure of the ear – the basilar<br />

membrane and associated hair cells – functionally<br />

resembles a filter bank, questions of timing must be considered<br />

as applying <strong>to</strong> the filtered output signals of that<br />

a)<br />

b) Spikes/s<br />

3200<br />

1600<br />

0<br />

0<br />

c) Spikes/s<br />

800<br />

20 40 60 80 100<br />

Time (ms)<br />

3.44 kHz<br />

400<br />

0<br />

260 Hz<br />

0 20 40 60 80 100<br />

Time (ms)<br />

Fig. 18.6 Neural phase locking at low frequencies and lack<br />

of phase locking at higher frequencies [18.17]<br />

Part E 18.2

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