Release Date: June 9, 2025
🚀 Summary
Introducing AudioMuse-AI v0.3.0-beta, our first BETA release! Experience enhanced music analysis with new mood detection and a supercharged, customizable Monte Carlo Evolutionary clustering approach, incorporating advanced scoring metrics. AI playlist naming is now smarter, leveraging these new moods. Enjoy improved documentation via our new MkDocs website and expanded repository capabilities with large file support.
✨ Key Features and Improvements
- Introducing a new models for the song analysis: now additional moods are supported like relaxed, happy, sad, aggressive and danceable;
- Improved the Monte Carlo Evolutionary approach for clustering: added new score like SILHOUETTE, DAVIES_BOULDIN and CALINSKI_HARABASZ. All parametrizable.;
- AI naming improvements: refined the prompt of the AI to include and support the new moods;
- Documentation improvements: multiple description added to the readme, mkdocks website automatically created from the readme for better reading and search function;
- Repository improvement: Adding large file support in the repository.
What's Changed
- Devel -> Main by @NeptuneHub in #7
Full Changelog: v0.2.2-alpha...v0.3.0-beta