Multi-Track Music Generation with the Transfomer and the Johann Sebastian Bach Chorales dataset

Related tags

Audio MMM-JSB
Overview

MMM: Exploring Conditional Multi-Track Music Generation with the Transformer and the Johann Sebastian Bach Chorales Dataset.

Implementation of the paper "MMM: Exploring Conditional Multi-Track Music Generation with the Transformer" (paper). Uses OpenAI's GPT-2 to compose music.

Contact.

Find me on LinkedIn and say hello.

If you find and issue or have a feature request, report either here on GitHub.

Please be so kind and star the repository if you find it useful.

Acknowledgements.

This repository has been created in cooperation with Pyoneer. I am very grateful!

About.

This repository allows you to train GPT-2 on the Johann Sebastian Bach chorale dataset. You can train both MMMTrack and MMMBar from the paper.

How to run.

Requirements:

pip install transformers
pip install tokenizers
pip install torch
pip install music21
pip install note_seq

Training:

  1. Clone this repository git clone https://github.com/AI-Guru/MMM-JSB.git.
  2. Train MMMTrack with python train_jsb_mmmtrack.py.
  3. Train MMMBar with python train_jsb_mmmbar.py.

Sampling: Run the jupyter notebook.

Training should take roughly one hour on a GPU per model for the JSB dataset.

Pretrained checkpoint.

A pretrained network can be found here: https://ai-guru.s3.eu-central-1.amazonaws.com/mmm-jsb/mmm_jsb_checkpoints.zip

What is missing?

  • TensorFlow support is rudimentary.
  • Data preprocessing and training on the Lakh dataset.
  • Implementation as a tool or a DAW plugin.

License.

Released under the Apache-2.0 License.

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  • How to save generated_sample to MIDI ?

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    Hi, I want to save generated_sample to a MIDI file and save to my computer to play with my prefered MIDI player, how can I do that ?

    I currently at this step:

    generated_sample = generate(model, tokenizer, priming_sample)

    My sample variable looks like this:

    PIECE_START TRACK_START INST=1 DENSITY=0 BAR_START NOTE_ON=61 TIME_DELTA=4.0 NOTE_OFF=61 BAR_END BAR_START NOTE_ON=66 TIME_DELTA=4.0 NOTE_OFF=66 NOTE_ON=65 TIME_DELTA=4.0 NOTE_OFF=65 NOTE_ON=66 TIME_DELTA=4.0 NOTE_OFF=66 NOTE_ON=66 TIME_DELTA=4.0 NOTE_OFF=66 BAR_END TRACK_END TRACK_START INST=2 DENSITY=1 BAR_START NOTE_ON=58 TIME_DELTA=4.0 NOTE_OFF=58 BAR_END BAR_START NOTE_ON=61 TIME_DELTA=4.0 NOTE_OFF=61 NOTE_ON=61 TIME_DELTA=4.0 NOTE_OFF=61 NOTE_ON=61 TIME_DELTA=4.0 NOTE_OFF=61 NOTE_ON=61 TIME_DELTA=2.0 NOTE_OFF=61 NOTE_ON=59 TIME_DELTA=2.0 NOTE_OFF=59 BAR_END TRACK_END TRACK_START INST=3 DENSITY=0 BAR_START NOTE_ON=54 TIME_DELTA=4.0 NOTE_OFF=54 BAR_END BAR_START NOTE_ON=54 TIME_DELTA=4.0 NOTE_OFF=54 NOTE_ON=49 TIME_DELTA=4.0 NOTE_OFF=49 NOTE_ON=54 TIME_DELTA=4.0 NOTE_OFF=54 NOTE_ON=51 TIME_DELTA=4.0 NOTE_OFF=51 BAR_END TRACK_END TRACK_START INST=0 DENSITY=0 BAR_START NOTE_ON=66 TIME_DELTA=4.0 NOTE_OFF=66 BAR_END BAR_START NOTE_ON=70 TIME_DELTA=4.0 NOTE_OFF=70 NOTE_ON=68 TIME_DELTA=4.0 NOTE_OFF=68 NOTE_ON=70 TIME_DELTA=4.0 NOTE_OFF=70 NOTE_ON=71 TIME_DELTA=4.0 NOTE_OFF=71 BAR_END TRACK_END [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD] [PAD]...

    And I want to save that generated_sample.

    opened by GunGunGun 1
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