Aug. 4, 2023, 5:52 p.m. | /u/S0UNDSAGE

Machine Learning www.reddit.com

I'm working on a Python project that aims to transform phone-quality acoustic guitar recordings into studio-like ones. My approach involves using a Generative Adversarial Network (GAN) with two components: a Generator and a Discriminator.
Here's a quick rundown of my process:
Data Loading & Preprocessing: Convert acoustic guitar recordings to spectrograms and split into training and validation sets.
Generator: Neural network trained to create high-quality studio recording spectrograms from low-quality inputs.
Discriminator: Another neural network trained to differentiate between real …

audio components data data loading gan gans generative generative adversarial network generator loading machinelearning network phone process project python quality studio

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