Uncategorized – 18-090, Fall 2019 https://courses.ideate.cmu.edu/18-090/f2019 Twisted Signals: Multimedia Processing for the Arts Mon, 09 Dec 2019 18:18:35 +0000 en-US hourly 1 https://wordpress.org/?v=5.2.20 https://i1.wp.com/courses.ideate.cmu.edu/18-090/f2019/wp-content/uploads/2016/08/cropped-Screen-Shot-2016-03-29-at-3.48.29-PM-1.png?fit=32%2C32&ssl=1 Uncategorized – 18-090, Fall 2019 https://courses.ideate.cmu.edu/18-090/f2019 32 32 115419400 Final – Beat Maker https://courses.ideate.cmu.edu/18-090/f2019/2019/12/09/final-beat-maker/ Mon, 09 Dec 2019 14:30:49 +0000 https://courses.ideate.cmu.edu/18-090/f2019/?p=3391 In this Project, I wanted to make something to make beat making easier. I used a keyboard linked with some audio libraries, and adjusted velocity based on pitch (with variable tempo). I also used live.grid to create a 16 beat sequencer on 3 tracks.

]]> 3391 jcrisafu – Project 2 – Player Vocoder https://courses.ideate.cmu.edu/18-090/f2019/2019/12/09/jcrisafu-project-2-player-vocoder/ Mon, 09 Dec 2019 14:02:52 +0000 https://courses.ideate.cmu.edu/18-090/f2019/?p=3377 The sounds of a vocoder have always fascinated me. From Laurie Anderson’s ominous voice in O Superman to the funky robot fun of Stevie Wonder and Daft Punk’s discographies, the vocoder has an intense amount of potential within itself. With this project, I decided to explore how this uniquely electronic method could extend into other fields by allowing a vocoder to play itself through MIDI information, as well as see how different source sounds other than a voice could react with a vocoder style.

The foundations behind a vocoder. The two fftins~ are your two audio sources, the second one usually a saw wave for robotic goodness.

In this presentational version of the patch, I decided to combine the four string parts of Ravel’s String Quartet in F Major, because I can. As of right now, I am only able to use MIDI 0 type files running concurrently with each other, as the parsing of channels from a MIDI 1 file became incredibly daunting when trying to keep the patch self-contained, as opposed to working in conjunction with a DAW (in my case, GarageBand. Sad.). I allow for two different source audio sources; either an ADC~ input, or another file through SFPlay~. This allows for both the classic talk-box style, as well as the ability to turn other pieces of pre-recorded music or speech to be transformed. As a test, I used Shintaro Sakamoto’s “A Stick and Slacks” for its rhythmic intrigue and staccato nature to interplay with the legato phrases of Ravel.

This is that. That’s this. (As a note, the noise~ is used to make consonants more pronounced by exploiting the clipping that would occur when speaking into a microphone.)

I believe that this patch could become an interesting live performance technique, especially with single-voice instruments like strings, woodwinds, and brass. The opportunity for someone to create a multitude of voices from one source opens up fascinating opportunities for self-duets, trios, and more. I would have loved to find more flexibility in affecting the MIDI data outside of creating my own MIDI files that were set in stone.

https://drive.google.com/drive/u/1/folders/1yoklE-qoguK9-JydRIqeqbp0AHKOYa3Z


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]]> 3377 Le Final Project SaS – shambhav https://courses.ideate.cmu.edu/18-090/f2019/2019/12/09/le-final-project-sas-shambhav/ Mon, 09 Dec 2019 07:14:05 +0000 https://courses.ideate.cmu.edu/18-090/f2019/?p=3343 Collaborators: Sara Frankel + Shambhavi Mishra

This project in collaboration with Sara is an audio visualization and manipulation max patch that uses a leap motion sensor as its main controlling factor. Our project was divided into two parts, the audio and the visual manipulation.

Sara took charge in creating the audio component while I worked with the visual component.

The visual patch originally used jit.gl.plato and jit.gl.multiple in order to create a spectrum of shapes that could be modified in sub patches via position, scale, rotation, and color. The overall shape could then be modified by the user.

Original Patch

However, we realized that this visual component would be hard to control with a leap motion sensor, therefore we modified the visual to be one large entity that was controlled by the palm position of the hand detected by the leap motion sensor rather than individual shapes. Therefore, the world looked more unified.

New Visual

With a more manageable jit.world, we then applied the position, rotation, and scale parameters of a jit.gl.multiple object to our overall object (jit.gl.plato). We also wanted the audio component to interact with the visual component, therefore we used part of my project one to convert audio signal frequencies into pitch and then color. This connection allowed for the visual shapes to reflect the frequencies of the audio files being played through color.

Visual sub patch
Visual connected to audio main patch

Along with the leap motion, when the user moves the visual around, (up/down/left/right/front/back), the audio track is modified accordingly. Additionally, the more wet signal added, the more fluctuations you can see in the visuals. Below is a picture of how all parts of this project work together.

Final Project in presentation view

For more about the audio aspect of this project check out Sara’s project page: https://courses.ideate.cmu.edu/18-090/f2019/2019/12/09/le-final-project-sas-sfrankel/

Project File Google Drive:

https://drive.google.com/open?id=1oA_ceh31OFaaENqMv01eiZvMfMDXyf6_

Embedded Code: 

Audio + Video 

<pre><code>
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-----------end_max5_patcher-----------
</code></pre>



Video

<pre><code>
----------begin_max5_patcher----------
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43vR06IxQrw+63+SXA3E6
-----------end_max5_patcher-----------
</code></pre>



Leap Motion
<pre><code>
----------begin_max5_patcher----------
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-----------end_max5_patcher-----------
</code></pre>
]]> 3343 Davidcoo – Project 2: Leap Motion Granular Synth https://courses.ideate.cmu.edu/18-090/f2019/2019/12/09/davidcoo-project-2-leap-motion-granular-synth/ Mon, 09 Dec 2019 06:23:41 +0000 https://courses.ideate.cmu.edu/18-090/f2019/?p=3348 In my project I created a granular synthesizer that is controlled using the leap motion. I started by using a base of the Sugar Synth that we used in class and built on that to be able to control it with using leap motion controls. By utilizing the built in detection of the leap motion, the user is able to control which value they are controlling by doing gestures with their hands (Open hand, fist and the OK symbol), Then they use their other hand to control the value by moving left and right to assign a value to the parameter they have chosen. There is a toggle to pick which hand that is controlling the value and which is controlling the parameter. The parameters that can be controlled are the speed, pitch rate, random pitch, grain size, and number of grains.

Drive Link: https://drive.google.com/drive/u/1/folders/1Zz5Ca0h4jl3yKpqmj89UUT3WMRukfpj2

In my project I used the Sugar Synth: http://formantbros.jp/sako/download.html

I also used the leap motion for max and built on the leap motion made in class.

]]> 3348 atunnard – project 2: midi-controlled, live-input grainsynth https://courses.ideate.cmu.edu/18-090/f2019/2019/12/09/atunnard-project-2-midi-controlled-live-input-grainsynth/ Mon, 09 Dec 2019 05:51:28 +0000 https://courses.ideate.cmu.edu/18-090/f2019/?p=3337

this work showcases a max/msp patch which creates washes of granular synthesis from a live input. sounds that meet the synth engine are sampled to a buffer~ object, then spliced and diced with 2d.wave~. each parameter of the 2d.wave~ granular output is individually tweakable, and presets can be mixed and overlapped using a midi interface, specifically, the novation launchcontrol xl. wet and dry versions of our live input can then be timestretched and stereo-fied before running through a reverb system. wet and dry blends are then controlled by our midi interface, as well as the interpolation between reverb presets.

this project allows for patch modification without ever touching a keyboard or mouse. as the following recordings hopefully demonstrate, this opens up the opportunity to create and modify complex sound while simultaneously producing the engine’s input. i really enjoyed recording this pieces, and hope to use this patch more in the future! these recordings are just a start!

the first track is a guitar, the second is a drum set (with a dry recording overlayed), and the third is a guitar with a synthesizer. enjoy πŸ™‚

google drive link

]]> 3337 Kabruzzo – Project 2: Visualizing with Leap Motion https://courses.ideate.cmu.edu/18-090/f2019/2019/12/09/kabruzzo-project-2-visualizing-with-leap-motion/ Mon, 09 Dec 2019 05:32:19 +0000 https://courses.ideate.cmu.edu/18-090/f2019/?p=3339 Since I worked with sound for my first project, I decided to work with visuals for my second project using jit.gen. For the first window “ball”, a sphere is squished and stretched based on the y-coordinate of the left index finger. It squishes when your hand is lower, and stretches when your hand is higher. It is also squished in a different direction when the left hand pinches, like you are pinching the shape. In the window “worm,” the speed at which the shape moves is affected by the left hand making a fist, and the color is affected by the position of the left index finger. In the window “cross 1,” a shape is produced by taking the cross product of vectors used to make a sphere and the vector for the left palm’s velocity. In the window “cross 2,” a shape is produced by taking the cross product of vectors used to make a sphere and the vector for the left index finger’s position as a vector.

Google Drive: https://drive.google.com/drive/u/1/folders/1MX5scjJwJeiTmDW7bo-Gp3MBAOeCZP_J

]]> 3339 Smontina – Project 2: Barbershop & Home Hair Cutting Kit https://courses.ideate.cmu.edu/18-090/f2019/2019/12/08/smontina-project-2-barbershop-home-hair-cutting-kit/ Mon, 09 Dec 2019 02:54:35 +0000 https://courses.ideate.cmu.edu/18-090/f2019/?p=3320 For Project 2, I originally wanted to create an interactive soft sculpture out of a durag and Max Patch that would replicate the experience of getting a haircut. However a lot of obstacles were encountered during the making process. The durag was not durable enough to embed 8 Adafruit speakers or the continuous handling necessary for exhibition so it was quickly replaced with a headset. The patch was made to have 2 modes: a manual setting, in which the user could choose the “clipper guard” and move the “hair clipper” around in ambisonic space over the audience’s head; and a automatic setting, in which presets of 7 hair styles (a normal Fade, High + Low Fade, Buzz Cut, Shape Up, Temple Fade with Sponge Twists, Frohawk, and High Top) could be automated and experienced. A reoccurring issue in both the automatic and manual version is having continuous sound when switching between the 8 different wavetables. The audio must be turned off and on again to reset the patch to play the new sound. In addition to that, on the automatic version, the audio for the most part is seemingly disabled. With each addition to the automatic patch (the Barbershop), more usability was lost, this may be due to the multiple presets that are theoretically needed for the project to function.

Home Hair Cutting Kit: Presentation Mode
The Barbershop: Editing Mode
]]> 3320 yufeiwan – Project 2: Visualizing Sound https://courses.ideate.cmu.edu/18-090/f2019/2019/12/08/yufeiwan-project-2-visualizing-sound/ Sun, 08 Dec 2019 19:43:58 +0000 https://courses.ideate.cmu.edu/18-090/f2019/?p=3300 For my final project, I wanted to do something that is related to sound visualization. At first, I was inspired by this YouTube video

and hoped that I could accomplish something similar to this one. So I started out trying to build just one object (like a sphere) and tried to manipulate its size and color as the music plays. But I struggled with making the object as complicated as the one I show in the video.

So I changed my mind and tried to do something that is more achievable for me. After following this tutorial

to build a particle system, I tried to rebuild the patch so that the particle system can react to music. I also added color features into my patch – I can change the background color of my world, and change the brightness of my particles so that the particle system won’t look too boring. Users can adjust the amplitude of the particle system and the size of the system to achieve different effects. To demonstrate that, I made the presets to show the different visualizations my system can achieve through just changing numbers in some number boxes.

Here is a video I recorded that is me demonstrating the patch:

And here is the link to the google drive.

]]> 3300 jhueteso – Project 2: LIDAR live interactive sequencer https://courses.ideate.cmu.edu/18-090/f2019/2019/12/07/jhueteso-project-2-lidar-live-interactive-sequencer/ Sat, 07 Dec 2019 22:32:14 +0000 https://courses.ideate.cmu.edu/18-090/f2019/?p=3305 For this project I wanted to try to do something interactive. The end goal was to have something people could use to make music in a cooperative and interactive way. An important requirement for this was responsiveness and intuitiveness. I wanted something where you could figure out what you were expected to do just by< moving things out.

For this project I used the LIDAR sensor I am currently using for my bachelor’s research project. A LIDAR sensor creates a 2D dimensional map of its by shooting a laser and waiting for the reflection (similar to a SONAR, hence the name).

2D map of a room
RPLIDAR - 360 degree Laser Scanner Development Kit
Sensor used

Now to play some music I divided the 360ΒΊ rotation on a series of “slices”. Each slice represents a time delay for a note (think on the number on a clock, each one is played when the hand hits it).

These slices are given a value encoding the distance to the first object. We now have nice angle and distances we can use in Max .

My patch can play drums or play music. In the drums part, the distance to the sensor control the type of drum played: hihat, snare & hihat, snare or kick. In the melody section the distance to the sensor controls pitch. The closer to the sensor the higher the pitch. I added two filters in parallel to add some user input to control the final sound.

Finally, I added an interface using to render a series of cubes that represent the note being played.

Link to Drive

]]> 3305 sebastir – Project 1: A Visualization Experience https://courses.ideate.cmu.edu/18-090/f2019/2019/11/06/project-1-a-visualization-experience/ Wed, 06 Nov 2019 14:32:24 +0000 https://courses.ideate.cmu.edu/18-090/f2019/?p=3273

This project was inspired by DataMoshing, but took an unexpected turn. Overall, this was a cool learning experience, and created some awesome visuals. I wish I had done more to use audio input for sound manipulation, but that is another project milestone to strive for.

Drive link: https://drive.google.com/drive/folders/1GTesZIGtZGrMVbEFmWazoyrLa_eeHRCT

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