Refine a sound in words and see what moved

The challenge

Qualitative feedback about sound is hard to turn into parameter changes, and an AI that changes things silently is worse than a knob.

The scenario

A sound designer has the right instrument but the attack is too clean and the highs are harsh, and wants those two things fixed without losing the brightness.

What goes in

An open sound

Any patch in the library.

An instruction

Sound words, a region, or a graph edit: 'add a sub an octave down, only above velocity 90'.

What you can ask

Illustrative prompts. Results depend on your own data and are not deterministic.

• “Give the attack more organic variation.”Copy
• “Remove this harshness without reducing brightness.”Copy
• “Add another oscillator an octave down, but only bring it in when velocity exceeds 90.”Copy

How Clearception approaches it

How the work is structured. Each step shows what its output is grounded in.

1. 1

   Interpret

   Observed

   A lexicon maps each sound word to a DNA delta; unknown words are reported, never guessed.

2. 2

   Recompile and diff

   Observed

   The genome is rebuilt and every changed parameter is listed with its driver.

3. 3

   Trace what you hear

   Observed

   The microscope names the nodes putting energy in a region and what to move — protecting what you said to keep.

What you get

The shape of what comes back — not a promised result.

• A change log

  filter.cutoff_hz 1717 → 604 (brightness); env.amp.attack_ms 240 → 310 (attack) …

Why it matters

Nothing changes silently

Every instruction returns the parameters it touched.

Deterministic and free

Refinements are arithmetic — no model call, no Compute, no latency.