Michels Lighting Industries

AUDIO IN.
LIGHT OUT.

A private independent non-profit research project at the intersection of machine learning and professional stage lighting design.

The Vision

What if a lighting designer's years of experience could be encoded into a model — and used to generate a full light show from a single audio file?

MLI is a private independent non-profit research project exploring neural audio-to-light synthesis. The goal: train a model that understands the relationship between sound and light the way a professional designer does.

Phase one focuses on learning brightness, energy, and beat-synchronization from real concert footage. Phase two will introduce synthetic training data generated by an LLM trained on professional lighting design literature.

This is not a finished product. This is research, documented openly.

The System (for the Proof-of-Concept)

Audio Analysis

Raw audio → MFCC, beat detection, energy curves, structural segmentation, CLAP embeddings

Feature Extraction

96 engineered features per frame, sampled at 30fps, synchronized with video ground truth

Sequence Modeling

BiLSTM encoder processes temporal audio context. LSTM decoder generates frame-by-frame light grid predictions.

Grid Output

12×8 RGB grid representing stage lighting state at every frame — brightness, color, spatial distribution

Synthetic Pipeline (In Development)

LLM-based lighting designer generates training data at scale. Stage layouts, fixture distributions, music-reactive cue lists — all synthetic, all labeled. Human training data remains essential for validation and real-world progression.

Current Status

Training Data

Active

96 real concert recordings processed. Synthetic pipeline in development. Target: 10,000+ training samples.

Model

In Progress

CLAP + BiLSTM architecture. 3.3M trainable parameters. Beat-synchronization: functional. Style transfer: research phase.

Product

Planned

Private independent non-profit research project moving toward a desktop application for lighting designers. Built to connect with every major professional lighting workflow and control environment. Target: late 2026 to mid 2027.

Get In Touch

Research inquiries, collaboration, data partnerships.

If you work in professional lighting design and are interested in this private independent non-profit research project — or if you have access to lighting show recordings and would like to contribute to the research — reach out.

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