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WeeklyBeats.com / Music / exileFaker's music / recurrent composition #1

recurrent composition #1

By exileFaker on February 21, 2016 8:45 pm

OK, back to business this week.
This was generated using a recurrent neural network (specifically, a RNN-RBM). For the previous neural net tracks I was treating song patches/instruments/etc from LSDJ as static data and using the hierarchical structure built into LSDJ or other signals for variety in long timescale structure. This thing actually generates sequences using short-term memory. More to come!

(Disclaimer:  For the ending, I added a few empty bars and let the final notes hang. Otherwise this is nothing but net.)

Audio works licensed by author under:
CC Attribution Share Alike (BY-SA)

February 23, 2016 9:47 pm

Cosmic Cairns

Some more crazy sounds here.  This is somewhat what I imagine walking around with a major headwound might feel like!

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February 25, 2016 5:29 am

exileFaker

CosmicCairns wrote:

Some more crazy sounds here.  This is somewhat what I imagine walking around with a major headwound might feel like!


Viva free speech!

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February 29, 2016 8:05 pm

orangedrink

CosmicCairns wrote:

walking around with a major headwound


There's your track title right there! smile

I either wanted more frequent high pitch notes tones or more frequent notes, but not both.  Very cool ending!

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March 7, 2016 12:16 am

exileFaker

orangedrink wrote:
CosmicCairns wrote:

walking around with a major headwound


There's your track title right there! smile

I either wanted more frequent high pitch notes tones or more frequent notes, but not both.  Very cool ending!

Hey, I appreciate the constructive criticism. It's funny, I think this is actually the most "musical" track that I've managed to get out of the neural net so far, and in that way the most successful, but it seems not to be too easy on some ears. The overabundance of high-pitched notes is totally an artifact of the way the thing generates data plus how note data is represented in LSDJ--working on eliminating that "feature" in future iterations of these experiments.

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