This repository provides a curated collection of influential research papers from the ICASSP 2023 and 2024 conferences, focusing on acoustics, speech, and signal processing. It serves researchers and practitioners in these fields by offering a centralized, organized list of cutting-edge work, often with accompanying code.

How It Works

The project acts as a structured index of conference papers, categorized by topic. It leverages GitHub's platform to list papers, their associated research areas, and links to relevant code. This approach ensures discoverability and accessibility for the latest advancements in signal processing.

Quick Start & Requirements

• Install/Run: No specific installation is required; it's a curated list.
• Prerequisites: Access to the internet to view the GitHub repository and linked resources.
• Setup Time: Instantaneous.
• Links: Online version of the ICASSP 2024 Conference Technical Program

Highlighted Details

• Comprehensive categorization of papers across numerous signal processing sub-fields.
• Includes links to code for many listed papers, facilitating reproducibility and further research.
• Actively maintained with calls for community contributions to ensure completeness.
• Provides context by listing related papers from other major AI conferences.

Maintenance & Community

• Contributions are actively encouraged via pull requests and issues.
• Contact available via email for contributions.

Licensing & Compatibility

• The repository itself is likely under a permissive license (e.g., MIT, Apache 2.0) given its nature as a collection.
• Individual papers and code retain their original licenses, which may vary. Compatibility for commercial use depends on the licenses of the linked papers and code.

Limitations & Caveats

The repository is a curated list and does not host the papers themselves; users must access them via external links. The completeness and accuracy of code links are dependent on the original authors and community contributions.