This research report introduces the pitchtypes library, a Python designed to address challenges in the computational modeling, analysis, and generation of musical structures. The library provides a flexible and efficient framework for representing musical structures such as pitches, intervals, chords, and harmonies, making it a versatile tool for both theoretical research and practical applications in musicology. Key features include optimized data types for performance, a modular architecture for extensibility and maintainability, and support for more advanced applications like AI-based composition and real-time music analysis. By combining traditional music theory with modern computational methods, the pitchtypes library is a tool created to contribute significantly to the field of computational musicology.
From Pitches to Harmony: Developing a Computational Language for Music Theory [Report]
Hi everyone! I hope you enjoyed reading my poster, here you can find a more expanded version of my research project and all the details about my research internship. If you have any questions or remarks, don't hesitate to send me a message, I would be happy to talk.
Student, EPFL
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