Universal Dolby Atmos Decoder
Open-source Dolby Atmos decoder for arbitrary speaker layouts. Contact for Implementation in prototyping and research environments. This project is advised by Dr. JoAnn Kutchera-Morin and Dr. Curtis Roads.
Part of a larger open-source spatial audio toolkit in development at cultdsp.com
INSTRUCTIONAL MATERIALS COMING SOON
A Framework & Toolkit for Live Music Performance in the AlloSphere
This Toolkit enables real-time object-based audio rendering and spatialization, real-time audio reactive graphics, and new methods of asset importing. The framework bundles all of these capabilities into a user friendly experience for live bands, tested with Duende live in the AlloSphere for the 2025 MAT End of Year Show.
Collaboration with Joel Jaffe and Pinkang Chen
Environmental Hallucinations
Experiential Environmental Data Tools
(in development)
Migration Sculptures
(prototyping)
transforms two decades of whale migration tracks in the Santa Barbara Channel into an interactive WebGL “specimen garden,” where each species–year–season becomes a 3D artifact. Trajectories are bundled into volumetric meshes and occupancy is encoded as terrain-like density topographies, enabling rapid visual comparison of corridor stability, dispersion, and long-term drift. (garden environment still in development)
Noise Pollution Paintings
(prototyping)
builds a modular Python renderer that ingests urban “noise proxy” datasets (roads, airports, population density), derives semantic fields like pressure, rhythm, fracture, porosity, and velocity, then uses diffusion conditioning (ControlNet/img2img) to generate reproducible abstract paintings with embedded provenance metadata.
Biodiversity Soundscapes
(developing prototype)
maps Yosemite bird biodiversity time series into ambient, structured sonifications by computing ecological metrics (richness, turnover, presence/absence) and translating them into MIDI harmony, texture, and pacing. The architecture is designed to extend to other parks and to route outputs into Max/MSP later.
Spectral Graphic Notation
A tool for generating graphical music notation based on audio files.
This project takes audio input files, converts them to a CSV off FFT data, and reads the file into a processing project to generate graphic musical notation. Audio analysis and data formatting is done in Python. Visualization is done in processing. The goal of this project is to provide a new means of generating graphic musical notation. There are currently no tools which I find satisfactory for doing so. This has applications for composers, educators, and artists. The project is heavily inspired by Xenakis and Cornelius Cardew's "Treatise".
Python Project for synthesizing new audio based on an initial corpus, using Scikit machine learning. Before training models and predicting, the audio is clustered. The primary method is a time-windowing approach with SVR. The example material was generated from a corpus of my own music.
A method for re-synthesizing audio predictions using machine learning models.
Predictive Audio Machine Learning
Wander Delay
This prototype is useful for swirling delays, granular textures, and room ambience.
A prototype granular delay plugin written in JUCE.
Algorithmic VBAP for Cubic Space
This project is was a test in spatializing sounds based trajectories from iterative functions. The patch creates a cubic space in which individual sound objects are panned via updating matrix coordinates. The method of spatialization is vector based amplitude panning. The visual space monitoring was done in Jitter. Early tests in UCSB’s AlloPortal were promising. Further development is being done to realize the project in C++.
MAX MSP Spatial Audio Prototype
Top Row: Placement of sound objects in monitor cube
Botton Row: Source system of spatialized particles
SWELL -
Sonifying Waves Electronically (with) Live Location (data)
Ambient Surfline Radio
Supercollider prototype. Software takes surf input data from the PySurfline API (accessing live Surfline data in Python). Data is read into Supercollider and sonified generatively with seed values. “Radio” prototype runs indefinitely with infinite variation. Below are results from various tests.
La Sonification de la Planète Sauvage (2022)
A visual sonification experiment in Max MSP.
view max patch
This project was an experiment in sonifying visual information via Max MSP. Data was interpreted through parameters to feed synthesizers and granular audio processing. Source images are from the film Fantastic Planet (1973). This project is only for academic purposes.
Python Audio Manipulation Test - No External Libraries
This project explored audio manipulation in Python only using native libraries.
Audio Test Examples:
The code does as follows: The user provides an audio clip. The program then spits out a random number of clips each based on different segments of the original clip. The segments are a random length and location of the original clip. The resulting segments are then sped up or slowed down by a random amount. This tool is useful for sound design and resampling, independent of a DAW.
New software projects in development:
Spatial Audio Decoding for the AlloSphere, Audio-reactive shader metaprogramming library, ultrasound experiments