Audio ML Noise Reduction
2026Real-time background noise suppression for Teams and Zoom. Custom U-Net trained on DNS Challenge 4. ONNX CPU inference. Built from scratch — dataset, model, training, live pipeline.
View repo →Stavion
Colquitt
Audio ML Engineer, Senior AV/AI Engineer, and Recording artist in Chicago. I build stuff!
10+
Open-source
projects
projects
5+
Records
released
released
∞
Domains
still to learn
still to learn
01
Work
Real-time speech enhancement, edge ML, and production AI architecture and much more! Selected open source below — more on GitHub. Coursework lives separately under School Projects.
Nussl (modernized fork)
2026Brought the Interactive Audio Lab's source separation library, archived in 2024, back to life on current Python, NumPy, librosa and PyTorch. Added LeadBacking, a separator that splits lead from backing vocals using stereo panning and pitch tracking.
View repo →Audio Analysis MCP
2026Real-time audio analysis as an MCP server — frequency reports, stereo imaging, mix analysis, key detection. Built to let AI assistants reason about what's playing during a production session.
View repo →Spectrogram Reader
2026See what audio processing actually does. Interactive STFT explorer across linear, mel and MFCC scales — plus an A/B difference view on a shared dB reference that shows exactly what a plugin, filter or bounce changed.
View repo →
02
Music
I write and produce as Stavion Colquitt. Singer, pianist, and engineer of my own records. New material in the pipeline; older work below.
03
Research
Write-up in progress
Current project: an AI backing vocalist. Existing tools execute an arrangement decision you have already made — pick the harmony, set the interval, print it. This system makes the decision instead. Given a lead vocal, the instrumental and the lyrics, it predicts what belongs on each beat: a double, a harmony, a call and response, an ad‑lib, a sound effect, or nothing at all.
Trained on separated stems from my own catalogue, where I know what was sung and why it was sung there. Being written up with two research advisors. More here once it is further along.
04
Study
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2026–2028
M.S., Artificial Intelligence
Lewis University
Currently enrolled -
2025
CCNP Collaboration
Cisco
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2025
Dante Level 3
Audinate
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2022
B.S., Digital Audio Recording Arts
University of St. Francis
06
Connect
Best for: research collaborations, audio ML conversations, music questions. Slow for cold outreach — I read carefully before I reply. For more on who I am, head to about me.
Socials
Where I show up online — music drops, work in progress, the occasional life moment.