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Musical-Applications-of-Microprocessors-2ed-Chamberlin-H-1987

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74 MUSICAL ApPLICAnONS OF MICROPROCESSORS<br />

pressure waveforms could also be applied to the parameter waveform or<br />

envelope. One type <strong>of</strong> processing that would have an interesting effect is<br />

jiltering <strong>of</strong> the parameter envelopes. A high-pass filter, for example, emphasizes<br />

high frequencies relative to lower frequencies. The direct effect on the<br />

waveform is to emphasize rapid variations and ignore slower variations and<br />

trends. High-pass filtering <strong>of</strong> the trumpet solo data, for example> might<br />

produce a caricature <strong>of</strong> the original playing style. Low-pass filtering <strong>of</strong> a<br />

parameter has an opposite effect in which short and rapid variations are<br />

smoothed out and slow variations or trends are emphasized. The result might<br />

very well sound as if the performer had become drunk!<br />

Hand manipulation <strong>of</strong> the parameters, <strong>of</strong> course, is also possible. One<br />

way to determine how a particular parameter contributes to an overall effect<br />

is to resynthesize the sound with that parameter held constant or set equal to<br />

some other parameter. Statistical analysis <strong>of</strong> the curves might make it possible<br />

to completely separate two parameters that normally influence each<br />

other. For example, overall loudness and spectrum distribution are related in<br />

trumpet sounds. Loud but mellow notes are not generally possible as are s<strong>of</strong>t<br />

but blaring notes. Conversely, two parameters that normally vary independently<br />

may be made interdependent.<br />

Of course, with a computer-based system, the results <strong>of</strong> sound analysis<br />

may be stored for later recall or for combining with other analysis data.

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