Pin the keyword models to one thread each and ship them (V-487)
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.
This commit is contained in:
@@ -71,15 +71,30 @@ func newWakeModels(melPath, embedPath, headPath, libPath string) (*wakeModels, e
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return nil, fmt.Errorf("wake word: onnx runtime: %w", err)
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}
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}
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// One thread per session, not the default of every core. Measured on
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// workpc: the default took mavwaked from 68% of one core to 335% of
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// three, for three graphs that each run in well under 80ms single
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// threaded. An always-on gate that eats a quarter of the workstation is
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// not a gate he will leave running.
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opts, err := ort.NewSessionOptions()
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if err != nil {
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return nil, fmt.Errorf("wake word: session options: %w", err)
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}
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defer opts.Destroy()
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if err := opts.SetIntraOpNumThreads(1); err != nil {
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return nil, fmt.Errorf("wake word: intra-op threads: %w", err)
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}
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if err := opts.SetInterOpNumThreads(1); err != nil {
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return nil, fmt.Errorf("wake word: inter-op threads: %w", err)
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}
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open := func(p string, in, out []string) (*ort.DynamicAdvancedSession, error) {
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s, err := ort.NewDynamicAdvancedSession(p, in, out, nil)
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s, err := ort.NewDynamicAdvancedSession(p, in, out, opts)
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if err != nil {
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return nil, fmt.Errorf("wake word: load %s: %w", p, err)
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}
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return s, nil
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}
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m := &wakeModels{}
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var err error
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if m.mel, err = open(melPath, []string{"input"}, []string{"output"}); err != nil {
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return nil, err
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}
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+20
-6
@@ -4,11 +4,22 @@
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# user unit because it needs his ALSA session and his ssh agent, and because
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# it should stop when he logs out.
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#
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# THERE IS NO WAKE WORD YET (V-487 stage two). Anything spoken near the fifine
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# becomes a turn. What makes that safe rather than expensive is voiceSender:
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# it sends Surface=SurfaceVoice, which caps every command at L0, so no
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# accidental trigger runs a destructive act. It does not stop her answering
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# out loud, so this unit is his to stop when the room is not his alone.
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# The keyword is "Мэйвен" and the three -wake- flags are what require it
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# (V-487 stage two). Without them anything spoken near the fifine becomes a
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# turn, which voiceSender makes safe rather than expensive: it sends
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# Surface=SurfaceVoice, capping every command at L0. That does not stop her
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# answering out loud, which is the whole reason the keyword exists.
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#
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# The threshold is 0.999 and it is the binary's default, so it is not passed.
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# It came from 65 minutes of held-out Russian speech through this same binary:
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# 0.9 false wakes an hour against 2.8 at 0.99, for one lost render out of 126
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# (docs/evals/2026-08-09-wake-word.md). If the room proves noisier than the
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# corpus, read the scores out of this unit's journal and pass -wake-threshold.
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# Do not lower it by guessing.
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#
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# A keyword shorter than 1.32s can be heard too late to be used, because the
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# head scores 1.28s of audio and the VAD has closed the utterance by then.
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# "Мэйвен, <request>" is unaffected. A bare "Мэйвен" is the case that fails.
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#
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# -vad-model is passed on purpose. Silero answers "is this frame speech" where
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# the energy floor answers "is this frame loud". It declines white noise at
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@@ -24,7 +35,7 @@
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# systemctl --user enable --now mavwaked.service
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[Unit]
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Description=Maven always-on listening (VAD, no wake word yet)
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Description=Maven always-on listening (silero VAD, "Мэйвен" keyword)
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# The tunnel is the only path to mavend and the only thing authenticating it.
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Requires=maven-voice-tunnel.service
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After=maven-voice-tunnel.service
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@@ -45,6 +56,9 @@ ExecStart=%h/.local/bin/mavwaked \
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-addr 127.0.0.1:9100 \
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-lang ru \
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-vad-model %h/.local/share/maven/models/silero_vad.onnx \
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-wake-model %h/.local/share/maven/models/maven_wakeword.onnx \
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-wake-mel %h/.local/share/maven/models/melspectrogram.onnx \
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-wake-embed %h/.local/share/maven/models/embedding_model.onnx \
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-onnx-lib %h/.local/lib/libonnxruntime.so
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Restart=on-failure
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RestartSec=5
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+13
-1
@@ -170,7 +170,19 @@ The device is `plughw:0,0` and not `hw:0,0`. The fifine offers 2 channels at
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44100 or 48000 and nothing else, and mavwaked asks arecord for 16kHz mono. Bare
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`hw` dies on "Channels count non available" before a frame is read.
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There is no wake word yet (V-487 stage two), so the loop runs open.
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The three `-wake-` flags require the keyword "Мэйвен" (V-487 stage two). Drop
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them and the loop runs open, which is what it did before. The threshold is the
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binary's default of 0.999 and is not passed. Over 65 minutes of held-out
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Russian speech it woke her 0.9 times an hour against 2.8 at 0.99. That cost one
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lost render out of 126 (`docs/evals/2026-08-09-wake-word.md`).
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The three sessions are pinned to one thread each. onnxruntime otherwise sizes
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its pool to every core and spins between runs, which took mavwaked from 68% of
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one core to 335%. With the cap it sits at 81%, so the gate costs about 13%.
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A keyword shorter than 1.32s can be heard too late to be used. The head scores
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1.28s of audio, and the VAD has closed the utterance by then.
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"Мэйвен, <request>" is unaffected. A bare "Мэйвен" is the case that fails.
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mavwaked connects at startup and holds the conn, so a nudge routed to voice
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reaches the speaker before he has said anything (V-671). It used to connect
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@@ -94,6 +94,14 @@ the head the whole request to peak during. A bare "Мэйвен" with nothing af
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it is the case that fails. One fix would hold an ignored utterance for a grace
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period and ship it if the keyword lands late. It is not built.
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## What it costs the workstation
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Under systemd on workpc, mavwaked sat at 335% of a core with the gate on and
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68% with only silero. onnxruntime sizes its thread pool to every core and spins
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between runs, and this gate runs three graphs twelve times a second. Pinning
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all three sessions to one thread brought it to 81%, so the keyword costs about
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13% of one core. The three graphs each finish in well under 80ms that way.
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## What was not measured
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No room recordings. Every negative above is a clean corpus clip. This gate
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