For me—a music lover and an audio engineer—the influence of
math on art is immediately apparent as soon as sound hits my ears. Even when
you split the creative and technical side of music, math continues to worm its
way into the core of what we hear.
When it comes to the creative end, we can take a look at
what is called progressive music. This kind of sound is a purely creative
application of math into the songs. A so-called progressive sound includes oddball
time signatures (the way that the beat of the song is counted), atypical song
structures and frequent changes in key, a system that defines “proper” notes by
the specific mathematical intervals. Author Paul Hegarty considered virtuosic
application of math into the music a critical component of progressive rock.
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The circle of fifths. This chart is a visual aid for the mathematical intervals that define the notes in a key. |
As for the technical side- well, that’s why I chose
electrical engineering for my major in the first place! For one, how about the
fact that any piece of audio can be modeled as a summation of nearly infinite
sinusoidal signals? Math begets physics, and physics explains what we hear.
Let’s take an average MP3 bought from iTunes, encoded at a sampling rate of
44,100 Hz. Why such a random number? Well, the math behind the Nyquist-Shannon
Theorem tells us if we want a certain frequency to come through, we must sample
at a rate twice that frequency. Humans can hear from 20-20,000 Hz, so we need
to sample at a rate of at least 40,000 Hz. The extra wiggle room of 4,100 Hz
allows us to design effective filters that prevent aural nastiness. See, all that
math allows us to hear the most annoying high-pitched frequencies you can imagine!
![]() |
Without Nyquist-Shannon, the analog to digital to analog encoding and decoding process wouldn't work. Artifacts on artifacts on artifacts! |
Within the robot and art combos presented in the lecture
materials, I immediately connected with the Arduino project. What I enjoy about
it is that it effectively provides an artist’s canvas to everyday engineers.
What Arduino provides isn’t so much art itself so much as potential for art, which is something I find very cool. Engineers
aren’t known for being the most creatively minded individuals out there, so I
almost see Arduino as a challenge of sorts to the engineers- “Here are the
tools, now go ahead and prove everyone wrong.” That’s pretty rad I think. I
mentioned this artist in a comment last week, but I think his work fits almost
perfectly here. I’m referring to H.R. Giger, the inventor of the “biomech” art
that was made famous in the Alien film series. Giger’s work is a direct
representation of robotics in art, often showing humanoid creatures enhanced by
machines or even creatures where their origins as organic or cybernetic would
be ambiguous.
![]() |
Japan's Mobile Suit Gundam anime series is also another blatant example of robotics translated to visual arts. Woohoo for childhood nostalgia! |
Sources
C. E. Shannon, "Communication in the presence of
noise", Proc. Institute of Radio Engineers, vol. 37, no. 1,
pp. 10–21, Jan. 1949.
Hegarty, Paul, and Martin Halliwell. Beyond and
Before: Progressive Rock since the 1960s. New York: Continuum, 2011. Print.
Williamson, Marcus. "HR Giger: Artist Hailed for His
Surrealistic Creatures in Nightmare Landscapes Who Won an Oscar for His Work on
'Alien'"The Independent. Independent Digital News and Media, 14
Mar. 2014. Web. 06 July 2014.
"Arduino - Introduction." Arduino.
Arduino, n.d. Web. 06 July 2014.
Hi Avinash,
ReplyDeleteYour description of encoded sampling rates is fascinating. It would interesting to see you expand upon this interest in some creative / critical way... to see how standards inform popular uses of listening and production. Maybe later in the course.
Also, if you like Arduino, I think you'll enjoy makey makey
Deletehttp://makeymakey.com/