silver-nightingale

AI Music Generation using RNNs

Generate musical notes using a simple Recurrent Neural Network (RNN)

In this project, I have generated musical notes using a simple recurrent neural network (RNN).

First I trained a model using a collection of piano MIDI files from the MAESTRO dataset. Given a sequence of notes, the model learned to predict the next note in the sequence.

Setup

Run the following commands in the terminal in the environment this notebook is being run, to install the main dependencies and packages required:

sudo apt install -y fluidsynth

pip install --upgrade pyfluidsynth

pip install pretty_midi

Dataset

To access the dataset, run the following piece of code in jupyter notebook:

import tensorflow as tf
import pathlib

data_dir = pathlib.Path('data/maestro-v2.0.0')
if not data_dir.exists():
  tf.keras.utils.get_file(
      'maestro-v2.0.0-midi.zip',
      origin='https://storage.googleapis.com/magentadata/datasets/maestro/v2.0.0/maestro-v2.0.0-midi.zip',
      extract=True,
      cache_dir='.', cache_subdir='data',
  )