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Momo Wake Word

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

KindOtherVersionRevision 6780dfbCgrade

Model source

Kind
Other
File size
405 KB
Version
vRevision 6780dfb
Updated
Sep 22, 2026
Downloads
14
Source
Hugging Face

Source description

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 FacePrimaryVersion 6780dfba45b6e50fec542b337e6f56d3b492917d
huggingface.co/coyotte508/momo-wake-word/tree/6780dfba45b6e50fec542b337e6f56d3b492917d

Verified Sep 6

Model artifacts

1 artifact

momo.onnx

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

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Source excerpts

2 excerpts

--- 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