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ZeqCodec

Synthesis, coding, room acoustics, mastering.

  • Protocol ID — zeq-codec
  • Category — Audio
  • Endpoint — POST /api/audio/codec
  • Auth — api-key
  • Rate limit — 15/min
  • Version — 1.287.0
  • Precision — ≤0.1% (KO42-enforced)

What it does

Audio codec with HulyaPulse quantization. Zeqond-aligned frame encoding, perceptual masking model, variable bitrate targeting MUSHRA ≥85 at minimal bandwidth.

Signature

Request

POST /api/audio/codec
ParamTypeRequiredDefaultDescription
audioDataobjectPCM audio to encode.
targetBitrate_kbpsnumber128Target bitrate.
modestring"zeq-adaptive"'cbr', 'vbr', 'zeq-adaptive'.

Response

{ encodedData, actualBitrate_kbps, mushra_score, latency_ms, zeqond }

Runnable example

curl -sS -X POST \
-H "Authorization: Bearer $ZEQ_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"audioData": {},
"targetBitrate_kbps": 128,
"mode": "zeq-adaptive"
}' \
"https://api.zeq.dev/api/audio/codec"

Integrate

  1. Domain solver — compose with KO42 + two additional operators from the matching family for pulse-coherent results.
  2. Digital twin — pipe sensor data into this protocol every Zeqond to keep the model phase-locked with the system.
  3. Alert threshold — flag results whose error_pct exceeds 0.1% as out-of-spec events for the operations layer.

Seeds

  • Near — wrap /api/audio/codec in a language SDK so builders can call it in three lines.
  • Medium — publish a reference integration demonstrating ZeqCodec alongside a real workload, with pulse-aligned metrics.
  • Far — propose ZeqCodec as an open reference standard so other runtimes can implement it verbatim against the Zeq paper.

Papers

Middleware active. Kernel on the 1.287 Hz HulyaPulse. Awaiting next Zeqond.