mirror of
https://github.com/NousResearch/hermes-agent.git
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f106e0ebc2
'hey hor' triggered the wake word: the default sensitivity was 0.5, which for openWakeWord IS the raw per-frame score threshold — openWakeWord's own permissive baseline that near-misses clear. Raised the default to 0.6 so phonetic near-misses fall short while real 'hey hermes' (typically 0.9+) still fires easily. Also fixed a real cross-engine inconsistency found while checking: the sensitivity knob is documented 'higher = stricter' and behaves that way for openWakeWord (threshold = sensitivity) and sherpa (0.05 + 0.4*s), but Porcupine's own 'sensitivities' param runs the opposite way (higher = MORE false alarms, per Picovoice). Turning sensitivity up made Porcupine looser — backwards. Now inverted (1 - sensitivity) so 'higher = stricter' holds for every engine. - tools/wake_word.py: default 0.6; _sensitivity fallback uses _DEFAULTS; Porcupine sensitivity inverted with rationale - hermes_cli/config.py + docs: default + consistent-direction note - tests: Porcupine inversion, default>=0.6 regression, fallback-to-default |
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| developer-guide | ||
| getting-started | ||
| guides | ||
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| reference | ||
| user-guide | ||
| index.mdx | ||
| user-stories.mdx | ||