shambhav@andrew.cmu.edu – 18-090, Fall 2019 https://courses.ideate.cmu.edu/18-090/f2019 Twisted Signals: Multimedia Processing for the Arts Mon, 09 Dec 2019 07:14:07 +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 shambhav@andrew.cmu.edu – 18-090, Fall 2019 https://courses.ideate.cmu.edu/18-090/f2019 32 32 115419400 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>
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-----------end_max5_patcher-----------
</code></pre>



Leap Motion
<pre><code>
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-----------end_max5_patcher-----------
</code></pre>


]]>
3343
shambhav- Project 1 – Audio + Colors + Manipulation https://courses.ideate.cmu.edu/18-090/f2019/2019/11/06/project-1-audio-colors-manipulation/ Wed, 06 Nov 2019 13:08:57 +0000 https://courses.ideate.cmu.edu/18-090/f2019/?p=3256 For my project, I wanted to create a visual representation of processed audio by associating frequency to pitch to HSL/RGB color values. This audio/color visualizer turned into a fun tuner that could show if they user was signing on pitch or was a little off. The purer the color the more on pitch you are. In addition to the adc part of the project, I included a dac component that interacted with a granular synthesis. The visual and audio outputs were interesting to play around with once I added feedback and delay into the whole system.

The Inspiration
My First Draft
My Final Patch

Compressed Code:

<pre><code>
----------begin_max5_patcher----------
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-----------end_max5_patcher-----------
</code></pre>

Credits to : https://www.youtube.com/watch?v=R7vuAlkvKGQ and Max Tutorials on Granular Synthesis

]]>
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shambhav-Assignment 3: Convolution with Ringtones + Underwater Gurgles + Car Engines https://courses.ideate.cmu.edu/18-090/f2019/2019/10/02/assignment-3-convolution-with-ringtones-underwater-gurgles-car-engines/ Wed, 02 Oct 2019 12:05:44 +0000 https://courses.ideate.cmu.edu/18-090/f2019/?p=3036 Original Audio Signal: iPhone xylophone ringtone

Balloon popping in Baker

Convolution code for Baker IR

iPhone xylophone convolved in Baker

Balloon popping in Tepper

Convolution code for Tepper IR

iPhone xylophone convolved in Tepper

Original Audio Signal: Underwater gurgles

Underwater gurgles convolved in Tepper

Original Audio Signal: Car starting

Car Starting convolved in Baker

]]>
3036
shambhav – Assignment 2: Granular Delay https://courses.ideate.cmu.edu/18-090/f2019/2019/09/18/assignment-2-granular-delay/ Wed, 18 Sep 2019 11:42:15 +0000 https://courses.ideate.cmu.edu/18-090/f2019/?p=2931
For this project I wanted to play around with delay for audio signals to create a granular effect. 
Depending on the audio sample the delay presented various outcomes in tone/color from dreamy to metallic. 
With speech-like samples, there was more of an echo effect. 
With percussion beats, the overall tone became very crunchy. 
With textural sounds (rainstick/birds), there was more resonance and added harmonics. 

The first recording is a demo of the effect on various types of audio samples. The second recording is the full use of the effect on a song "Endless Field of Green"  by Pearl Django. 

Compressed Code: 
<pre><code>
----------begin_max5_patcher----------
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W9+PvFFSM
-----------end_max5_patcher-----------
</code></pre>
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shambhav: Assignment 1 “Life + Death” https://courses.ideate.cmu.edu/18-090/f2019/2019/09/04/project-1/ Wed, 04 Sep 2019 11:48:08 +0000 https://courses.ideate.cmu.edu/18-090/f2019/?p=2841 Life and Death dictated by www.thesaurus.com in 200 words: https://drive.google.com/file/d/1mhJ8hxYisfOuYseeHq3Tc5N6mGy_shoS/view?usp=sharing

My idea for this project was to use www.thesaurus.com as the ready-made system and start with the word “life”, find the closest synonym to this word as per the system, and then use that word to find the next closest synonym. At first I was mainly curious to see what words would show up in association to “life”. However, as more words were connecting to each other I tried to be more selective so that the end output could eventually be the exact opposite of what I started with (in this case “lifeless”). This whole process ended up taking 200 words to reach. The video itself takes the audience through each connection with backgrounds that change in color depending on the theme. The audio is a combination of various clock ticks, bells, distorted chimes, and low drones that increase/decrease in intensity and oscillating speeds to emphasize the theme of the visual text with an auditory experience as well.

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