This repository automatically updates a curated list of recent Text-to-Speech (TTS) research papers from arXiv, providing researchers and practitioners with a daily digest of advancements in the field. The project aims to streamline the discovery of cutting-edge TTS technologies, enabling quicker adoption and innovation.

How It Works

The project leverages GitHub Actions to periodically scrape arXiv for new papers tagged with relevant TTS keywords. It then parses the fetched data, extracts key information such as title, authors, publication date, PDF link, and code availability, and formats it into a markdown table. This automated process ensures the information is consistently up-to-date.

Quick Start & Requirements

This project is a data aggregation service and does not require installation or execution. Users can simply visit the repository to access the latest information.

Highlighted Details

• Daily Updates: The GitHub Actions workflow runs every 12 hours, ensuring timely access to new research.
• Comprehensive Data: Includes essential details for each paper, facilitating quick evaluation.
• Code Availability Tracking: Highlights papers with publicly available code, promoting reproducibility.
• Broad Coverage: Aggregates papers across various TTS sub-fields, from voice conversion to expressive speech synthesis.

Maintenance & Community

The repository is maintained by liutaocode. Further community engagement details are not specified in the README.

Licensing & Compatibility

The repository itself does not specify a license. The content is derived from arXiv, which has its own terms of use.

Limitations & Caveats

The project relies on arXiv's tagging and metadata accuracy for paper discovery. It does not host or provide access to the papers themselves, only links to their arXiv pages. Code availability is indicated by a "link" or "null" entry, requiring manual verification.