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Momo Wake Word

Wake word detection model for "Momo", trained via openwakeword.com.

TypeOtherVersionRevision 6780dfbCClasse

Source du modèle

Type
Other
Taille du fichier
405 KB
Version
vRevision 6780dfb
Mis à jour
22 sept. 2026
Téléchargements
14
Source
Hugging Face

Description de la source

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

FileFormatUse case
momo.onnxONNXPython (openwakeword), browser (onnxruntime-web)
momo.tfliteTFLiteMobile, 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.

Sources

1 source
Hugging FacePrincipalVersion 6780dfba45b6e50fec542b337e6f56d3b492917d
huggingface.co/coyotte508/momo-wake-word/tree/6780dfba45b6e50fec542b337e6f56d3b492917d

Vérifié 6 sept.

Artefacts du modèle

1 artefact

momo.onnx

onnx · 405 KB · SHA-256 1e9bb7649d9d…a0e1 · Hugging Face

Download file

Extraits de sources

2 extraits

--- 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