README.md

SemantiFX

SemantiFX explores a musician-centered way to control familiar audio effects with natural language. A musician captures a representative excerpt, describes the change they want, previews the resulting effect settings, and remains free to edit, compare, refine, or reject them.

This repository is at the prototype stage. The current question is:

Does an asynchronous capture → describe → analyze → compare workflow feel compatible with music-making, and which interface makes the musician feel most in control?

Current scope

  • Parametric EQ only
  • Local inference
  • macOS Standalone, Audio Unit, and VST3 targets
  • Text input before integrated speech input
  • Visible, editable parameters with compare and undo

The system is intentionally split at a narrow seam: JUCE owns deterministic real-time audio processing; the inference worker accepts an audio excerpt and a prompt, then returns a versioned set of named parameters. ML work never runs on the audio thread.

See Architecture and Initial research plan.

Try it

Explore three interaction directions in a browser:

sh
1bun prototype/server.ts

Then open http://localhost:4173/?variant=A. The bottom switcher moves among the guided studio, conversation, and workbench variants without losing the simulated session state.

Run a real Text2FX analysis using the sibling checkout's existing environment:

sh
1scripts/analyze ../oss/text2fx/assets/guitar.wav "warm like a hug" 50

Build and open the JUCE standalone app:

sh
1cmake -S plugin -B plugin/build -DCMAKE_BUILD_TYPE=Debug
2cmake --build plugin/build --config Debug --parallel 4
3open plugin/build/Semantifx_artefacts/Debug/Standalone/Semantifx.app

To try the complete development flow, pass audio through the app or plugin, enter a prompt, click Capture 10s, and then click Analyze. The plugin runs Text2FX outside the audio and UI threads and applies the validated result. Import Analysis… can still load /tmp/semantifx-analysis.json directly. The same build produces AU and VST3 artifacts. Run all automated checks with scripts/check.

Current integration edge

The real inference worker and real-time plugin now share a strict, versioned 18-parameter contract. The development build captures audio, starts a one-shot local analyzer process, supports cancellation, and applies results automatically. It deliberately embeds this checkout's path and is not a distribution design. Packaging a persistent worker, streaming true inference progress, and replacing repository-relative paths are the next integration steps.

See the first measured baseline and plugin validation.