- 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
Control all sonically meaningful C15 parameters through NISPS ML outputs.
Excludes hardware routing, macros, scale/tuning, key tracking, velocity,
envelope mod depths, discrete switches, and dangerous volume/pitch params.
- Expand param-map.js with 126 curated params grouped by synthesis section
- Widen MLP architecture from [3,10,10,14,20] to [3,32,48,64,126]
- Add ParamDisplay.rebuild() for mode-dependent bar count (20 visual, 126 synth)
- Add scrollable compact layout for synth mode param bars
- Pad visual presets and old saves to 126 outputs for backward compatibility
Adds a secondary Synth mode (toggled via collapsible left side panel)
where the NISPS ML engine's 20 outputs control curated C15 synthesizer
parameters (oscillator PM, shapers, filters, reverb, echo, flanger,
output mixer) through a WASM AudioWorklet bridge.
Includes a chord progression arpeggiator with controls for tempo (BPM),
octave range, octave offset, and 4 selectable progressions. The C15
engine runs in an AudioWorklet with lock-free SharedArrayBuffer ring
buffer communication.
New files: c15/ (WASM assets), js/synth/ (bridge, arpeggiator, param map),
serve-coop.py (COOP/COEP headers for SharedArrayBuffer support).
Faithful JS port of nisps-core MLP + IML engine with a touch-friendly
UI for exploring neural parameter mapping visually. Two learning modes:
example-based (set slider targets) and RL feedback (thumbs up/down with
exploration noise). Flow field particle system controlled by 8 MLP outputs.
