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The Audio Assistant node sits between an Audio Track trigger and downstream nodes (STT, alerts, models). It normalizes all input to PCM S16LE int16 @ 16 kHz mono via the shared audio ingress layer—the same contract as the rest of the audio pipeline.

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Pipeline position

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Modalities

Only one modality is active per node instance.

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Shared audio contract

Upstream Audio Track buffer presets control chunk size into the node: For SSG, prefer accumulating at least 1–4 s per analysis window (default analysis preset: Speech-To-Text 4 s).

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Edge execution

Audio Assistant nodes are edge-only. Workflows compile to a wf_*.py worker module and sync to the device:
Typical chain:
Compile checks:
  • VA upstream Audio Track must use buffer preset Voice Assistant (32 ms).
  • SSG upstream Audio Track should use Speech-To-Text (4 s) (or custom ≥1 s).
The compiler emits a warning listing required Python extras when VA/SSG nodes are present.

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Edge dependencies

The edge-ml-worker container image pre-installs zenoh, ml-vad, ml-aed, and ml-wakeword, and pre-downloads AST and OpenWakeWord weights for air-gapped use. SSG on bare-metal edges downloads MIT/ast-finetuned-audioset-10-10-0.4593 on first run (~340 MB) unless baked into the image.

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