Computational system that converts recorded sound waveforms into parametric drawings for digital fabrication. The workflow analyzes acoustic signals and transforms their wave patterns into geometries produced through CNC machines.
This system was developed to explore how acoustic signals can be translated into generative drawing systems. The workflow records sound input and analyzes its waveform characteristics, transforming these signals into parametric variables that control drawing trajectories.
By linking waveform properties such as amplitude and frequency to geometric parameters, the system generates visual patterns derived directly from sound data. The resulting geometries can be exported for digital fabrication, allowing acoustic information to be materialized through CNC-produced drawings.
Transforming sound recordings into structured geometric patterns requires establishing clear relationships between acoustic data and parametric drawing behavior.
Key technical challenges included:
• Capturing sound recordings and extracting waveform information
• Converting amplitude and frequency data into geometric parameters
• Maintaining coherent drawing patterns despite fluctuating acoustic input
• Simulating the movement logic of a drawing machine
• Producing geometries compatible with CNC fabrication processes
The project resulted in a computational workflow that converts recorded sound waveforms into fabrication-ready drawing geometries.
The system analyzes acoustic signals and translates waveform properties into parametric drawing trajectories generated in Rhino and Grasshopper. These trajectories can be exported directly to CNC machines for physical production.
The workflow provides:
• Conversion of sound waveforms into parametric drawing parameters
• Generation of unique drawing compositions derived from acoustic signals
• Simulation of drawing trajectories within the computational model
• Fabrication-ready geometries for CNC production
• Integration between sound analysis and generative fabrication workflows
