This repository provides a curated collection of research papers and datasets focused on deep learning for music modeling and generation. It serves as a valuable resource for researchers and practitioners in the field of AI music creation, offering a historical overview and access to key datasets.

How It Works

The project highlights a broad spectrum of research, from early connectionist approaches to modern Transformer and diffusion models. It emphasizes various symbolic music representations (like MIDI and GuitarPro tablatures) and raw audio generation techniques, showcasing advancements in conditional generation, long-term structure modeling, and controllability.

Quick Start & Requirements

• Datasets: Links to download various datasets are provided, including Lakh MIDI, MAESTRO, POP909, DadaGP, and XMIDI.
• Code: While the README lists many papers and their approaches, it does not directly provide a unified codebase or installation instructions for a single, runnable project. Users will need to refer to individual papers for specific implementation details.

Highlighted Details

• Comprehensive timeline of music generation research from 1959 to 2023.
• Focus on symbolic music generation using GuitarPro tablatures with models like ShredGP, ProgGP, and LooperGP.
• Exploration of text-to-music generation with diffusion models (ERNIE-Music, Moûsai, MusicLM) and language models (AudioLM).
• Inclusion of datasets for various music generation tasks, from classical piano to progressive metal and folk tunes.

Maintenance & Community

The repository appears to be a static collection of research links, with the last update noted as January 20th, 2025. There are no explicit community channels or active maintenance indicators provided.

Licensing & Compatibility

The licensing of the individual research papers and datasets varies. Users must consult the specific licenses for each resource. Compatibility for commercial use or closed-source linking depends entirely on the terms of each linked paper and dataset.

Limitations & Caveats

This repository is a research aggregator, not a unified software project. Users must independently find, set up, and integrate code from individual research papers. The lack of a central codebase or unified API means significant effort is required to build a cohesive music generation system.