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I am interested in training a generative model on my guitar's waveform, but not sure how to record a waveform dataset from it.

I have transducer pick-ups on my acoustic (which would be ideal to use) but not sure hack it to

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    sound.stackexchange.com would be a more appropriate place for this question. – Mark Oct 19 '19 at 0:17
  • Step 1 is recording an audio file (lots of resources for this part). Step 2 you need to extract the raw samples in the form needed by your other software (also lots of resources for this, but need to know the exact format needed by your other software). – luser droog Oct 19 '19 at 17:58
  • I've done something similar to this with an Arduino Due and some simple circuitry to create a guitar pedal. Have a look at something like this and modify it to output the guitar's input to a RaspPi or something: instructables.com/id/Arduino-Guitar-Pedal – James Whiteley Oct 22 '19 at 14:16
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The easiest way to do this is probably to use an audio interface. An audio interface lets you plug in a 1/4" jack and connect the interface to your computer using USB. The interface can convert analog to digital signal, and vice versa.

It looks something like this.

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Here's some ipython notebooks that stream an audio waveform from a soundcard into matplotlib for a real-time viz.

It uses PyAudio and struct (to uncompress the byte stream into waveform integers)

https://github.com/markjay4k/Audio-Spectrum-Analyzer-in-Python

sound.stackexchange.com sounds more appropriate for me going forward, thanks for the rec!

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