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| Warning: Do not use image above in place of a periodic table. |
Part of the craziness that was the end of last semester included my final projects for the electronic music class I was taking. One of these projects was the electronic dance piece that is getting premiered in March, about which I will write more after I have finished revising it. Another one of these projects was an original suite I composed called The Elements. Before all you chemistry nerds out there get super excited about a collection of 90 (or 100 or 110 or however many total elements there are out there now including the synthetic ones), let me warn you that there are only four movements: one for each of the natural elements, according to the ancient Greeks. Subsequently, the four movements of The Elements are (1) Air, (2) Fire, (3) Earth, and (4) Water.
Each of the
four movements also fulfilled a particular requirement that was part of the
project option I selected (the other components of the final portfolio were
essentially free composition). Specifically, this project option had to be
exactly four movements, each one having limitations in terms of the source
material that could be used. As I go through each movement below, I will
explain in greater detail how the sounds for each had to be constructed. (The
movements were ordered according to my artistic preferences and not based on
the order in which the restrictions were listed in the assignment.) And, after
each movement’s explanation, I have made the music available for listening.
Air
The sounds
that comprise this first movement are entirely “found audio,” that is, audio I
personally collected myself, using a handheld recorder. This excludes any
sounds downloaded or otherwise obtained from the internet or other preexisting
collections of sounds. As this is the movement about air, the prevalent sounds
here are recordings of me breathing and blowing over an open bottle. As has
been the case with most of the electronic music I have composed, these sounds
appear in the piece modified from their original forms. In the case of the air
sounds I recorded, I added reverb and resonance, the latter allowing me to
enhance any sounds with a particular frequency (think of it like having a note
sound every time you made a sound like snapping your fingers).
Additionally,
there are sounds that are not air-based so much as they are air-inspired. For
instance, I modified a homemade recording of my door harp to suggest the sound of
wind chimes blowing in the wind. Likewise,
the chorus at the end of the movement is part of a recording of a piece I wrote
titled Nishmat, which is the Hebrew
word for both breath and soul.
Fire
The sounds
in this movement are derived exclusively from spectrum synthesis (which I
suppose ought not to be confused with spectral analysis). In the case of
MetaSynth, as explained in its reference manual, spectrum synthesis “uses
high-resolution frequency analysis to construct a series of spectrum events by
analyzing slices of a recorded sound.” Below is a screenshot from MetaSynth
showing such an analysis:
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| Spectrum Synthesis in MetaSynth |
The
horizontal axis represents time and the vertical axis represents frequency.
Brightness corresponds to amplitude, or loudness (brighter equals louder). The
sound of this particular spectrum is the spoken word “fire.” The bright bands that appear in roughly the
first third of the spectrum represent the (long) ‘i’ sound in the word “fire.”
In normal speech, the (sounding) vowels are specific collections of tones
whereas consonants are unpitched. It’s comparable to percussion instruments
that have definite pitches (piano, chimes, vibraphone, etc.) versus those that
do not (snare drum, wood block, cymbals, etc.).
So, how is
using spectrum synthesis any different from just using the original sound?
Excellent question! You will note in the image above that there are a series of
faint vertical gray lines – these divide the sample into the aforementioned
“spectrum events” (in this sample there are 64 events). When the spectrum
synthesis is played back, the sound is constant for the duration of each event.
If this sample were 64 seconds long, each event would sound for one second, and
during each of those seconds the sound would be the same. (There are options to
fade in and out of each event, allowing the sounds to blend a little more.)
Regardless, there is an inevitable loss of information – when you hear sounds
in everyday life, you don’t hear them in short little chunks. Whereas initially
there are essentially an infinite amount of samples, after the spectrum
synthesis there are at most 64 samples (the program allows you to have as few
as 2). This in turn is comparable to estimating the area under a curve (à la
calculus): “normal” sounds are like the “true” estimate of the area under a
curve, whereas the spectrum synthesis is analogous to an imperfect estimation
using (for example) a finite number of rectangular bars (see below).
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| Approximating the area under a curve using rectangular bars. |
The result
of all of this is a sound that can closely resemble the original (and is
usually recognizable), but is inherently rougher. In other words, there is an
added level of artificiality. As in the first movement, once I had a collection
of these spectrum-synthesized sounds, I was free to modify them as needed. But
nowhere will you hear sounds in their original form, i.e., as they might be
heard in the real world (outside of an electronic music concert or something
similar).
The sounds used
in this movement are (synthesized versions) of fires burning and society’s
subsequent responses, including a fire truck siren and a fire alarm. In
contrast to the serenity of the opening movement, “Fire” is rushed and driven.
Earth
The
construction of the final two movements involved the use of the image synth
room, which I wrote about in a previous post. Below is one of the images I used:
| Image Synthesis in MetaSynth |
The
horizontal and vertical axes represent time and frequency, respectively, just
like in the spectrum analysis example I displayed earlier. Likewise, brightness
still corresponds to loudness. There are two major differences between spectrum
synthesis and image synthesis, however. The first is that the colors represent
different things. In spectrum synthesis, there are a limited set of colors one
will see; all of them underscore the sounds brightness. In image synthesis, all
colors (well, 16,777,216 colors to be precise) are possible. Using the RGB
color system, red corresponds to the left channel, green corresponds to the
right channel, and blue corresponds to the “grid channel,” which is not
converted to sound but can be used to align different parts of the image.
The second
major difference is that sounds produced using the image synthesis are played
through an (electronic) instrument. This instrument can be purely synthetic,
using simple types of sound waves and their basic combinations, or it can be
slightly more complex, using samplers. The third movement corresponds to the
former, and the fourth movement corresponds to the latter.
In this
piece I have depicted Earth in the planetary sense: as the beautiful—yet
fragile—blue orb floating in the vast expanse of outer space, glistening in the
sun. While some of the images I used to make sounds were more abstract, I also
include some Earth-themed pictures, such as the view of our planet from space
and a beautiful landscape. This movement sounds the most like “computer music”
due to the fact that I was limited to purely synthetic instruments.
Water
As mentioned
above, this last movement was constructed solely from sounds obtained using
sampler instruments. Think of a sampler instrument as an electronic keyboard
with all the regular notes, but when you depress the keys, instead of a piano
sound you hear any sampled sound, like a bird chirping or (as is heard in this
movement) a toilet flushing.
(In fact,
all the preset sounds on an electronic keyboard are essentially sampler
instruments – the pre-recorded the sound of a particular piano note is just
being replayed at different frequencies. Slightly more sophisticated sampler
instruments—multisamplers—use multiple samples over different ranges. For example,
a clarinet in its low register sounds markedly different from a clarinet in its
high register, and not just because of the difference in pitch. Sampling an
instrument in each of its distinct registers allows the synthetic version of
the instrument to be more realistic.)
In addition
to the aforementioned toilet flush sample, other samples used in “Water” include
single drops of water, pouring water into a sink, and brushing my teeth. The
extended water drop solos are a fugue of sorts, with the second voice entering
with the same material but transposed up by a perfect fourth.
And there you have it – The Elements. Pretty “suite” music indeed! (Yes, unfortunately your reward for making it to the end of this lengthy post is a lame pun.)



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