Welcome to the Music Generation project using Machine Learning and Guitar Pro format. This project focuses on developing and evaluating models capable of generating music, specifically utilizing the rich expressive capabilities of the Guitar Pro format.
This research aims to explore the generation of music using machine learning models trained on Guitar Pro format datasets. It addresses challenges such as capturing expressive guitar techniques and creating musically coherent pieces that respect the intricacies of guitar music. This involves experimenting with different architectures including LSTMs, GRUs, and the Mambas.
To set up this project on your machine, follow these steps:
- Clone the repository
git clone https://github.com/BenFromHRBUST/MusicGeneration.git
- Install the required packages
pip install -r requirements.txt
This project is licensed under the MIT License - see the LICENSE file for details.
- GitHub: @BenFromHRBUST
- Email: hongyi.huang-3@postgrad.manchester.ac.uk
Special thanks to the University of Manchester, my supervisor Tim Morris, my co-supervisor Tom Baker and everyone who provided insights and feedback throughout the research.