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momo-wake-word
coyotte508/momo-wake-word
momo-wake-word is a audio classification model from coyotte508. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for openwakeword. The card lists the license as mit.
Wake word detection model for "Momo", trained via openwakeword.com.
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Repo size
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.tflite422 KB · 50%
At a glance
- Task
- Audio Classification
- Library
- openwakeword
- License
- mit
- Access
- Public
- Created
- Apr 4, 2026
- Updated
- Apr 4, 2026
- SHA
- 6780dfba
Model card
From the Hugging Face model README
Momo Wake Word
Wake word detection model for "Momo", trained via openwakeword.com.
Designed for the home-agent project — a local AI home assistant running on dedicated GPU hardware.
Files
| File | Format | Use case |
|---|---|---|
momo.onnx | ONNX | Python (openwakeword), browser (onnxruntime-web) |
momo.tflite | TFLite | Mobile, microcontrollers, edge devices |
Usage (Python)
pip install openwakeword sounddevice numpy
from openwakeword.model import Model
from openwakeword.utils import download_models
from huggingface_hub import hf_hub_download
download_models() # one-time: downloads preprocessing models
model_path = hf_hub_download("coyotte508/momo-wake-word", "momo.onnx")
oww = Model(wakeword_models=[model_path], inference_framework="onnx")
Training
Trained at openwakeword.com with the wake phrase "Momo". The model uses openwakeword's mel-spectrogram + Google speech embedding pipeline for lightweight, CPU-friendly inference.
Language
This model is optimized for French speakers. For other languages, train a new model at openwakeword.com.
- Task
- Audio Classification
- Library
- openwakeword
- License
- mit
- Languages
- fr
- Created
- Apr 4, 2026
- Updated
- Apr 4, 2026