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Historically, we appear to be approaching parity between real and
virtual acoustic instruments in the context of recorded music playback.
That is, we are approaching the time when many virtual instruments can be
considered interchangeable with their real-world counterparts for recording
purposes. Already, sampling synthesis gives us full interchangeability for
the case of a single played note--the note which was sampled. Model-based
techniques, however, are beginning to provide parity over a wider variety
of performance expression, and they require far less memory (though more
computational power) to achieve this.
The continuum between sampling and modeling is analogous to the extremes of
motion photography versus computer-generated animation in film making.
Just as computer-generated graphics is finding increasing use in films,
model-based musical instruments are likely to grow in importance over time
as the quality/cost ratio associated with their use increases. Note that
``cost'' should include overall ease of use as well computational and hardware
costs.
Often students will ask why we bother simulating traditional instruments
when the computer is capable of generating any possible sound. Why don't
we focus mainly on exciting new instruments that are light-years beyond
preexisting instruments? One short answer to this question is that
artificially computed sounds tend to sound artificial. In other words, we
simply don't know very many ways to generate deeply communicative sounds
from scratch. Another answer is that traditional musical instruments are
important because they are recognizable. Communication via sound waves is
generally symbolic, referring to a shared library of common experience.
Traditional musical instruments provide the important vocabulary necessary
to articulate musical statements in terms of the prior repertoire. Also,
attempting parity with traditional musical instruments provides an
excellent test of our ability to construct efficient models, since we can
test by direct comparison how well the model performs.
Once the natural behavior of traditional instruments has been conveniently
captured in the form of computational models, the evolution of musical
instruments can transfer from ``corporeal form'' in terms of wood and
metal, etc., to the virtual world of computational models. At this point,
they can begin an accelerated evolution. For example, virtual physical
instruments may be distorted in ways that would be impossible in the real
world, yet because they are model-based, distortions tend to remain
recognizable to the listener as ``morphs'' of the basic instrument. Anyone
who has tweaked ``parameter fifteen'' of a complex FM patch knows that this
``morphability'' property is not typical. Often, small changes in an
instrument parameter will change the sound so drastically that there is no
obvious connection between the ``before'' and ``after'' sounds. It is
straightforward to provide recognizable morphs using sampled instruments,
but in that case it's still difficult to obtain nonlinear phenomena such as
saxophone growl, or the overblowing of a flute. Again, it all comes down
to shared experience: A physical model captures in concise form a wide
variety of sounds, all recognizable as coming from a particular kind of
instrument by a wide variety of people. It is a valuable resource for
composers to have instrument models capable of creating such a rich
collection of vivid illusions in the mind of the listener, with intuitive
controls.
Some instruments have already begun their evolution in the virtual world.
For example, in the attempt to imitate the piano, various ``standard''
electric pianos have been created, such as the ``Rhodes'' and ``Wurlitzer''
electric piano sounds. Nowadays, it is relatively rare to see a real
Rhodes or Wurlitzer keyboard; instead, they have become a family of presets
on various synthesizers.
It does not necessarily follow that human performers will be replaced by
computational models. The best way to test a virtual acoustic instrument
is with a real player connected via physical controllers to the parameter
dimensions of the model. On the other hand, the development of virtual
performers is also greatly facilitated by virtual instruments, and such
instruments will be upward compatible with arbitrary levels of
sophistication in the automated enforcement of accuracy, style, and idiom.
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