Momo Wake Word
Wake word detection model for "Momo", trained via openwakeword.com.
Modellquelle
- Art
- Other
- Dateigröße
- 405 KB
- Version
- vRevision 6780dfb
- Aktualisiert
- 22. Sept. 2026
- Downloads
- 14
- Quelle
- Hugging Face
Quellenbeschreibung
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.
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 6. Sept.
Modellartefakte
1 Artefakt
Modellartefakte
1 ArtefaktQuellenauszüge
2 Auszüge
Quellenauszüge
2 Auszüge--- license: mit tags: - wake-word - keyword-spotting - openwakeword language: - fr library_name: openwakeword pipeline_tag: audio-classification --- # Momo Wake Word Wake word detection model for **"Momo"**, trained via [openwakeword.com](https://openwakeword.com/). Designed for the [home-agent](https://codeberg.org/coyotte508/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) ```bash pip install openwakeword sounddevice numpy ``` ```python 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](https://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](https://openwakeword.com/).
Source context: 14 downloads · 0 likes · Pipeline audio-classification · Library openwakeword · Repo coyotte508/momo-wake-word
