Here is a short demonstration:
Like project 1, I created my main patch from scratch:
I modified the visual subpath of the leap motion help file:
This is modified patch of the machine learning sam starter and training patch:
]]>Here is a short video:
I created the main patch entirely from scratch. I used a modified sugarSynth patch as a sub-patch and also used the leap-motion patches for collecting and routing data.
This is the gist of my main patch:
This is the modified sugarSynth patch:
I modified the visual subpath and fingers subpath in the leap motion patch:
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The code for the main pfft~ can be found here:
The code for the sub-patch is here:
]]>The original version of the song sounds like this:
(you could also hear this on youtube)
The first IR I used was a recording of the popping of the balloon in the CFA hallway, which sounded like this:
After convolving my first IR with my original signal, the resulting music sounded like it was coming from a distance or getting reverberated in a large room:
The second IR was a recording of the popping of the balloon near the stairwell in Baker Hall:
The convolution of Papa Americano with IR2 was less muffled since the ‘pop’ of the balloon was more defined and the sound was contained within a short span of time:
For my third IR, I recorded myself clapping twice- the first clap being louder then the second one:
When I convolved my original signal with the third IR, it produced an effect of an echo because I was essentially convolving my signal with two claps (impulses) at different times:
My fourth IR was created by extracting a piano piece from another song in my playlist- a mashup created by Conor Maynard:
On convolving this piano piece with my song, I got an abstract sound that was pleasing to the ear:
Lastly, for fun, I decided to convolve a convolved signal with my original signal. So, I decided to use the signal which was produced by convolving my original song with my claps, as my IR. The end product was surprisingly good:
Below is my Max code:
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The system I chose was an online thesaurus- Thesaurus.com. The original input word was ‘candy’. This word was chosen randomly. Once this word was fed into the system (the thesaurus), synonyms were generated. The first word from this list was chosen and fed back into the system. One rule that I applied to prevent an infinite loop was to exclude any word that I had already chosen earlier. The end result was a word that had no relation with the original word whatsoever. Thus, destroying the original word and its meaning through feedback.
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