I am taking an arduino class and I am really into the temperature/pressure sensors. For project one, I would love to link up max and arduino to see some sort of artistic representation of pressure/temperature to eventually come to a conclusion about the beauty of being able to physically touch somebody, the art of a hug if you will.
Gotta love those zany ladies from Miami! They’re fun, they’re flirty, you might even call them golden.
But what if those same Golden Girls were right in your own back yard – in baker hall!
(This was made by recording myself throwing a large book at the ground at the end of baker hall as my impulse – see below. Gotta love literature!)
Think halls are boring? What if those same ladies were in a stairwell!
(This was made in a similar fashion to the first, but the recorder was at the top of a winding stairwell whereas the book throwing was at the bottom of that stairwell – see below.)
Now for the fun stuff.
Do you love Bojack Horseman? Talk about a cross-over episode!
(This was made by using the Bojack Horseman Theme song as the impulse – see below. I like what the warp sounds at the beginning of the song/impulse did to the song “thank you, thank you, thank you…” Overall the whole thing swells in a pretty beautiful way.)
More of a Rick and Morty fan? In honor of the season finale last night, thank you for being a… fan.
(This was made by using the Rick and Morty Theme song as the impulse – see below. The beginning is pretty soft, but the middle is more audible and it is very eerie.)
Here’s a fun lil video that convolved the golden gals’ lovely faces through the bojack video theme song. If there is one thing to learn from this project, it’s that you can never have too much golden girls. Enjoy!
For this assignment, I wanted to be able to control the color of the timeshifted frames. I used jit.scalebias and jit.gradient to change the color of my delayed jitter matrix to black and white as well as replace those black and white values with two colors on a gradient. The two colors could be chosen by the viewer using the color-picker gui.
I also played with the time shifting patch we made in class and replaced the delay variable with a random number from 0-400. This had a similar effect to the glitch patch we received after last Wednesday’s class. Instead of including a random frame from the past couple seconds, however, it superimposed a random frame from the last 400 frames on the current frame. I liked the contrast between how smooth the regularly-colored current video was versus how spazzy and terrifying the colored and delayed glitch frames were. The effect made it look like I had demons inside me that were clawing to get out. As for the validity of that perception, I provide no comment.
github normal timeshifting: https://gist.github.com/anonymous/6bbd03bd0424ff4fab5939ac9f42e873
github glitch timeshifting: https://gist.github.com/anonymous/378d66d7059e8ba8934092f7192e79fb
Also shout out to jit.charmap-twotone.maxpatch in the cycling ’74 jitter examples for help on how to use jit.scalebias and jit.gradient.
I wanted to see where ifyoudig.net would take me. Ifyoudig.net is a website that returns the name of an artist it believes you will “dig” based off of your input of the name of an artist you already “dig.” If you were wondering, yes, this lingo is in fact killing me.
I started with Michael Jackson as the input artist and the original signal. Then I kept clicking the topmost artist in the list, the only artificial constraint being that I would not select an artist that I had already selected previously. Then I watched as the ifyoudig system did its magic.
After 45 iterations, the website was beginning to suggest artists like Austrian duo Kruder & Dorfmeister, known for their electronic downtempo sound.
After about 40 more iterations, the website suggested Yonder Mountain String Band, a progressive bluegrass group from Colorado.
I attached a video that takes you through the first 45 iterations by showing the major album of each successive artist/band – all to the backdrop of one of MJ’s most popular tunes. Then the video jumps to number 85 and includes an audio clip from one of Yonder’s most famous tracks. This provides you (the listener) with a side by side comparison of the sound of the input signal versus the sound of the output signal after 85 iterations of “feedback” through the system.