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MuMeRNN

This project is the foundation for the paper: Real-valued parametric conditioning of an RNN for interactive sound synthesis, 6th International Workshop on Musical Metacreation, International Conference on Computational Creativity (ICCC) June 25-26, 2018, Salamanca, Spain Link: https://arxiv.org/pdf/1805.10808.pdf

It is an ipothon notebook developed in PyTorch.

Getting Started

Set the parameters in the first cell, then run. To use the cannonical parameters for generating images and sounds for the paper, set: 'batch_size' : 256, 'epoch_limit': 10000

Prerequisites

You'll need an environment with installed libraries: librosa ipywidgets

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An Rnn for learning to synthesize pitched sounds

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