This repository serves as a meticulously curated compendium of resources for audio digital signal processing (DSP) and plugin development. It is designed for engineers, researchers, and power users aiming to quickly assess and adopt tools and knowledge for audio software creation. The primary benefit is a structured, one-stop shop for navigating the complex landscape of audio DSP, saving users significant time in resource discovery.

How It Works

The project functions as an organized directory, categorizing a vast array of learning materials and development aids. Key sections include essential code libraries, practical DSP algorithms and equations (cookbooks), software tools for rapid prototyping (playgrounds), and resources for electronics and embedded systems. It also points to relevant forums, extensive educational content like free and paid textbooks and online courses, and guides for graphic design, machine learning (non-generative), mathematics, and technical articles.

Quick Start & Requirements

As this is a curated list of external resources, there is no direct installation or execution command. For individuals new to DSP, the README strongly recommends starting with Will Pirkle's comprehensive textbooks, "Designing Software Synthesizer Plug-Ins in C++" or "Designing Audio Effect Plugins in C++." Alternatively, Yü Fang's free online course "projet μ" offers a C-based introduction to DSP fundamentals, while the "Think DSP" free online book utilizes Python for similar concepts. A foundational understanding of complex numbers and basic integral calculus is noted as a prerequisite for serious DSP study.

Highlighted Details

• Extensive categorization covering the full spectrum of audio DSP and plugin development needs.
• Dedicated sections for beginner guidance, including specific textbook and course recommendations.
• Strict exclusion of resources pertaining to LLMs and generative AI technologies, focusing on traditional DSP and ML applications.
• Practical development aspects are highlighted, such as software optimization techniques, plugin development frameworks, and API specifications.

Maintenance & Community

The project actively encourages community involvement, with a clear invitation to contribute via pull requests. However, the provided README snippet does not detail specific maintainers, active community channels (e.g., Discord, Slack), or a public roadmap, making it difficult to gauge the project's ongoing development momentum or support structure.

Licensing & Compatibility

The repository itself does not declare a specific open-source license. Contributions are subject to conditions requiring resources to be genuinely useful, lists to be alphabetically sorted, and self-promoted materials to provide evidence of utility. No explicit compatibility notes for commercial use or closed-source linking are present.

Limitations & Caveats

A significant limitation is the explicit exclusion of all resources related to LLMs and generative AI, which may be a drawback for users interested in these emerging areas within audio processing. Furthermore, the README acknowledges a current lack of beginner-friendly DSP learning resources specifically tailored for the Rust programming language, suggesting a workaround of learning in another language first. The focus is purely on resource curation, offering no runnable code or direct project setup.