This repository serves as a curated timeline of recent AI models for audio generation, primarily focusing on waveform-based synthesis and music generation. It targets researchers, developers, and enthusiasts tracking advancements in the rapidly evolving field of audio AI, providing a quick reference for key releases, papers, and code.

How It Works

The project is a static, Markdown-formatted list that compiles significant audio AI model releases. It organizes entries by date, providing links to associated research papers (arXiv, PDF), code repositories (GitHub), and sometimes pre-trained models or demos (Hugging Face, Colab). This structured approach allows for easy tracking of the state-of-the-art and the lineage of different audio generation techniques.

Quick Start & Requirements

This repository is a reference list and does not require installation or execution. All requirements are specific to the individual models linked within the timeline.

Highlighted Details

• Comprehensive coverage of text-to-audio, text-to-music, and text-to-speech models.
• Links to official papers, code repositories, and pre-trained models for many entries.
• Chronological organization starting from January 2023.
• Includes notable models like MusicLM, AudioLDM, Bark, and Voicebox.

Maintenance & Community

The project appears to be maintained by a single author, archinetai. There are no explicit community links (Discord, Slack) or information on future roadmap or sponsorships provided in the README.

Licensing & Compatibility

The repository itself does not specify a license. The licenses of the linked models and code repositories vary and must be checked individually. Compatibility for commercial use or closed-source linking depends entirely on the licenses of the referenced projects.

Limitations & Caveats

This is a curated list and may not be exhaustive. The "Code" and "Trained Model" links are not always available or may point to unofficial implementations. The timeline's completeness and accuracy depend on the maintainer's ongoing updates.