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Audio effect modeling with Deep Learning using Pytorch and synthetic dataset generation with Pedalboard

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jstallings2/pbmicrotcn

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pbmicrotcn

An exploration into audio effect modeling with Deep Learning using the microtcn model from Christian Steinmetz. The model was trained on synthetic data for compression, reverb, and distortion generated using Pedalboard and the SignalTrain dataset

This was my final project for the Dr. Scott Hawley's Deep Learning and AI Ethics course at Belmont University (Fall '21)

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Audio effect modeling with Deep Learning using Pytorch and synthetic dataset generation with Pedalboard

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