The gate loaded and worked on workpc and took mavwaked from 68% of one core
to 335%. onnxruntime sizes its intra-op pool to every core and spins between
runs, which an always-on gate scoring three graphs twelve times a second
provokes for the whole day. One thread per session brings it to 81%, so the
keyword costs about 13% of a core, and each graph still finishes well inside
its 80ms.
The unit now passes the three -wake- flags and the models sit beside
silero_vad.onnx in ~/.local/share/maven/models. The threshold is left at the
binary's default so there is one place to change it.
The two feature models are frozen and pretrained; only the 100KB head was
trained here. The shapes were measured rather than assumed: 2.0s of 16kHz
audio gives 197 mel frames, and 76-frame windows at stride 8 give exactly the
16 embeddings the head was fitted on.
This file knows tensors and nothing about the 80ms cadence, which is why the
scaling openWakeWord applies between the two feature models lives here.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013ptwopxyo3Z2kwFckHkLvN
claude