How bursty are an always-on trigger's false-wake counts, and does a lockout help?
research/ambient-wakeburst
How bursty are an always-on trigger's false-wake counts? On AR(1) frame scores the Fano factor is near 1 (1.05–1.5), but a 5% window-to-window drift in noise scale lifts it to about 9 for m = 3 (38 at 10%); a 10 s lockout cuts it to 2.5 but also cuts the mean by a third. Stylised.
What it found
A stylised follow-up to ambient-falsewake. On Gaussian AR(1) frame scores, wake counts per 1,000 s window are close to Poisson (Fano factor 1.05–1.5 at φ = 0.9–0.95). A window-to-window drift in the noise scale is what makes them bursty: a 5% lognormal drift lifts the Fano factor to about 9 for m = 3 while moving the mean only 4%, and 10% drift gives 38. A 10 s lockout cuts the Fano factor (9.8 to 2.5 with drift) but also cuts the mean by a third; a sub-second lockout changes little. The score is a model, not a real wake-word detector, and the drift is assumed. Stylised.
A figure from its own output
Paper, code and results
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Produced with AI assistance (Claude). Results are from the code in this repository and are simulated or stylised unless the abstract says otherwise; nothing here implies affiliation with or endorsement by any lab, researcher or company cited. MIT licensed.