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925ddc5be6
- Insert DynamicsCompressorNode as always-on brick-wall limiter after master gain (threshold -6dB, ratio 20:1, 2ms attack) - Add devmode tame parameter (0-1) controlling range constraining: - ?tame=0.7 URL param (default) or window.setTameLevel(n) - 0 = no mitigation, 1 = strongest constraining - Constrain 20 volume/buildup-sensitive params with safeMin/safeMax: - Envelope release/decay2 times capped to prevent infinite ringing - Envelope gains kept in moderate range - All 5 drive stages (ShpA/B, FB, Out, Cabinet) capped - Output mixer levels given floor and ceiling - Echo feedback and reverb size limited to prevent wash buildup - Fix Comb Filter group count (8, not 9) in comments and color generator |
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|---|---|---|
| .beads | ||
| .vscode | ||
| data | ||
| modes | ||
| nisps-core | ||
| playground | ||
| src | ||
| voicespaces | ||
| .gitignore | ||
| .gitmodules | ||
| AGENTS.md | ||
| ChannelStripAudioApp.hpp | ||
| CLAUDE.md | ||
| IMLInterface.hpp | ||
| LICENSE | ||
| MEMLNaut-NISPS.ino | ||
| NISPS_CORE_EXTRACTION_PLAN.md | ||
| NISPS_CORE_TASKS.md | ||
| PAFSynthAudioApp.hpp | ||
| README.md | ||
| ThruAudioApp.hpp | ||
| XiasriAnalysis.cpp | ||
| XiasriAnalysis.hpp | ||
| XIASRIAudioApp.hpp | ||
Neural Interactive Shaping of Parameter Spaces
https://musicallyembodiedml.github.io/memlnaut/approaches/nisps
Web Playground
Try NISPS in your browser — no hardware required:
cd playground
python3 -m http.server
# Open http://localhost:8000
Train a neural network to map joystick positions to generative visuals through interactive machine learning. Two learning modes: direct example mapping and reinforcement learning with thumbs up/down feedback.
The playground UI includes an Expand toggle on the visual surface so you can make the canvas nearly full-screen while compressing parameter/control panels into a minimal strip beneath it.