Artyfyshall Bird dataset

Developed by Nicholas Cornia in collaboration with Bruno Forment at Orpheus Instituut, this open-access resource bridges early modern computational creativity with present-day generative music practices. The project digitizes and operationalizes historical devices and chance-based mechanisms, ranging from Athanasius Kircher’s Arca Musarithmica (1650) to Johann Philipp Kirnberger’s Musikalisches Würfelspiel (1757), Antonio Calegari’s Gioco Pitagorico Musicale (1801), and Andrea Mangeruva’s Nuovo Metodo (1839).

What the Dataset Includes

• Historical Sources & Transcriptions: High-resolution source imagery and complete musical transcriptions of early generative treatises, voice-leading matrices, and rule sets.

• Algorithmic Code Engine: Custom Python code that faithfully emulates the underlying logic, combinatorial rules, and random processes of each historical system.

• Interactive Score & Audio Generation: An execution environment that allows performers to trigger these historical algorithms with a single click, instantly generating executable musical scores alongside audio previews and click-tracks for rehearsal and performance.

Research & Artistic Context

Reconsidering historical modes of musical artificiality through the lens of present-day generative models offers crucial insights into both the mechanics and ethics of algorithmic creation. Rather than viewing generative technology solely as a modern disruption, Artyfyshall Bird demonstrates how historical musicians actively embraced mechanical 'artifice' to expand human expression, internalize contrapuntal schemata, and probe the miracle of artistic creativity itself. 

Dataset & Code Repository: Available on GitHub