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From #53378: ships hey_hermes.onnx/.tflite (openWakeWord pipeline, Apache-2.0) under tools/wakewords/, resolves the default (and hey_hermes aliases) to the bundled file, ensures openWakeWord base feature models are fetched for custom paths too, and updates config defaults + docs from hey_jarvis to hey hermes.
20 lines
1.1 KiB
Markdown
20 lines
1.1 KiB
Markdown
# Bundled wake-word models
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`hey_hermes.onnx` / `hey_hermes.tflite` — the on-device "Hey Hermes" hotword
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model. This is the default detector for the wake word feature (see
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`website/docs/user-guide/features/wake-word.md`); no training or setup is
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required to say "hey hermes".
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- **Engine:** [openWakeWord](https://github.com/dscripka/openWakeWord) (Apache-2.0).
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- **Provenance:** trained with the openWakeWord training pipeline (synthetic
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TTS-generated speech), which produces both the `.onnx` and `.tflite` artifacts.
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Redistribution is permitted under the openWakeWord license.
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- **Label:** the model registers as `hey_hermes` (matches the filename).
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- **Runtime:** openWakeWord's shared feature-extraction models (melspectrogram +
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embedding) are NOT bundled here — they are fetched once on first use by
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`tools/wake_word.py` via `openwakeword.utils.download_models()`.
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To use a different phrase, train your own model and point
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`wake_word.openwakeword.model` at its path, or set a built-in openWakeWord name
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(`hey_jarvis`, `alexa`, `hey_mycroft`, …). See the wake-word docs for the
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training guide.
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