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Soulcreek2/speechkit-wakeword-models
speechkit-wakeword-models is a machine learning model from Soulcreek2. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for onnxruntime. The card lists the license as apache-2.0.
Open-source wake-phrase ONNX models trained for SpeechKit via livekit-wakeword (Apache-2.0).
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Updated Jun 29, 2026
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From the Hugging Face model README
Open-source wake-phrase ONNX models trained for SpeechKit via livekit-wakeword (Apache-2.0).
| File | Phrase | Optimal Threshold | FPPH/h | Recall |
|---|---|---|---|---|
hey_quby.onnx | "Hey Quby" (Cubi / Kubi) | 0.22 | 0.06 | 96.3% |
hey_computer.onnx | "Hey Computer" | 0.10 | 0.00 | 99.7% |
hey_jarvis.onnx | "Hey Jarvis" | 0.45 | 0.06 | 96.2% |
hey_mira.onnx | "Hey Mira" | 0.08 | 0.11 | 99.6% |
hey_kombify.onnx | "Hey Kombify" | 0.55 | 0.00 | 92.4% |
kombify.onnx | "Kombify" | 0.50 | 0.00 | 99.65% |
| File | Source |
|---|---|
melspectrogram.onnx | openWakeWord (Apache-2.0) |
embedding_model.onnx | openWakeWord (Apache-2.0) |
Standard openWakeWord 3-stage:
[1, 32000] -> [1, 1, 197, 32] (2s audio @ 16 kHz S16 mono)[96][1, 16, 96] -> [1, 1] scoreLicense: Apache-2.0 for the trained phrase heads and for the upstream openWakeWord melspectrogram / embedding models (we use the Apache-2.0 upstream copies, not the CC-BY-NC-SA pre-trained phrase models).
In SpeechKit, set [wakeword] phrase_id = "hey_quby" (or another id) in
config.toml and toggle Wake-word on in Settings. The dashboard download
manager will fetch the matching files from this repo automatically.
Compatible with any openWakeWord-style runtime (Home Assistant, custom inference loops, etc.) — drop the three files into the runtime's models directory.