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Perceptual Coherence : Hearing and Seeing

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Let me summarize at this point. The evidence is overwhelming that listeners<br />

can use auditory properties to identify a wide variety of events <strong>and</strong><br />

objects. There seems to be enough information in the waveform to allow<br />

judgments about a wide variety of physical attributes of the source of an<br />

auditory event. It is tempting to attribute the acoustic dimensions to different<br />

classes of receptor cells. The attack time dimension could be traced to<br />

cells that have different frequency sweep rates <strong>and</strong> different sweep directions<br />

(see figure 2.25). The spectral frequency dimension could be traced to<br />

auditory cortical cells discussed in chapter 2, which have multiple interleaved<br />

excitation <strong>and</strong> inhibition regions (e.g., M. L. Sutter et al., 1999). The<br />

spectral frequency variation dimension could be traced to cells that are sensitive<br />

to amplitude <strong>and</strong> frequency modulation (L. Li et al., 2002) or differences<br />

in spectral distributions (Barbour & Wang, 2003). The combination<br />

of such cells can account for the importance of the distribution of spectral<br />

components during the attack <strong>and</strong> steady parts of the sound. However, I do<br />

not believe correlating perceptual features to cells whose receptive fields<br />

seem to match those features is a useful approach to underst<strong>and</strong>ing timbre<br />

(or any other perceptual outcome). The receptive fields of cells are extremely<br />

labile <strong>and</strong> change dramatically in different contexts, as discussed<br />

in chapter 2. Carried to an extreme, every feature would dem<strong>and</strong> a unique<br />

receptive field. I believe that the perceptual features arise from the interaction<br />

of cells with all types of receptive fields.<br />

The evidence also is overwhelming that the experience <strong>and</strong> capability of<br />

the listener will determine the level of performance. The acoustic <strong>and</strong> cognitive<br />

factors are not wholly separable. These sounds have meaning; they<br />

seem to have some sort of psychological structure, if not exactly a grammar<br />

<strong>and</strong> syntax, which can affect identification. Below I consider some of the<br />

cognitive factors in more detail.<br />

Cognitive Factors<br />

The Perception of Quality: Auditory Timbre 367<br />

Although it would make identification much easier if each event or source<br />

had a unique sound, that is not the case. Ballas (1993) investigated one<br />

half of this ambiguity, namely that several sources can produce the same<br />

sound, which he termed causal uncertainty. Ballas uses the example of a<br />

click-click sound that could have been generated by a ballpoint pen, a light<br />

switch, a camera, or certain types of staplers. If a sound can come from<br />

many possible sources, then it seems obvious that it should be harder to<br />

identify the actual source. To measure the causal uncertainty, Ballas <strong>and</strong><br />

colleagues used information theory to measure the uncertainty of the distribution<br />

of responses to one stimulus (as described in chapter 3). The<br />

first step was to develop a set of categories such that each category represented<br />

similar events. One category could be impact sounds, another water

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