README.md

Classical Piano Composer

This project allows you to train a neural network to generate midi music files that make use of a single instrument

Requirements

conda env create

How to run

To download datasets run scripts from :

/data/scripts

e.g. download maestro dataset:

sh ./data/scripts/get_maestro.sh

To train the network run:

python train.py --model <model> --dataset <dataset> --data <data>

e.g.

python train.py --model lstm --dataset vocab --data ../datasets/maestro-v3.0.0

to see more options

python train.py -h

The network will use every midi file in directory provided in data_preparation.py MIDI_SONGS_DIR to train the network. The midi files should only contain a single instrument to get the most out of the training.

NOTE: You can stop the process at any point in time and the weights from the latest completed epoch will be available for text generation purposes.

To start ngrok server with Tensorboard:

python tensorboard.py -h

To generate music run:

python predict.py --model <model> --dataset <dataset> --data <data>

e.g.

python predict.py --model lstm --dataset vocab --data ../datasets/test

to see more options

python predict.py -h