Mycroft/OpenVoiceOS wake word plugin for Snowboy
pip install ovos-ww-plugin-snowboy
Each wake word can included several snowboy models, if any of them fires a detection is considered
TIP: you can use this to train a model for each speaker in your house
Add the following to your hotwords section in mycroft.conf
"hotwords": {
"my_word": {
"module": "ovos-ww-plugin-snowboy",
"models": [
{"sensitivity": 0.5, "model_path": "path/to/first.pmdl"},
{"sensitivity": 0.5, "model_path": "path/to/second.pmdl"},
{"sensitivity": 0.5, "model_path": "path/to/third.pmdl"}
]
}
}Then select what wakeword to use
"listener": {
"wake_word": "my_word"
}
All these are bundled with this plugin, they are universal models .umdl trained by snowboy and should have a good accuracy
"hotwords": {
"alexa": {
"module": "ovos-ww-plugin-snowboy",
"apply_frontend": true,
"models": [
{"sensitivity": 0.6, "model_path": "alexa.umdl"}
]
},
"hey_extreme": {
"module": "ovos-ww-plugin-snowboy",
"apply_frontend": true,
"models": [
{"sensitivity": 0.6, "model_path": "hey_extreme.umdl"}
]
},
"computer": {
"module": "ovos-ww-plugin-snowboy",
"apply_frontend": true,
"models": [
{"sensitivity": 0.6, "model_path": "computer.umdl"}
]
},
"jarvis": {
"module": "ovos-ww-plugin-snowboy",
"apply_frontend": true,
"models": [
{"sensitivity": [0.8, 0.8],"model_path": "jarvis.umdl"}
]
},
"snowboy": {
"module": "ovos-ww-plugin-snowboy",
"models": [
{"sensitivity": 0.5, "model_path": "snowboy.umdl"}
]
},
"smart_mirror": {
"module": "ovos-ww-plugin-snowboy",
"models": [
{"sensitivity": 0.5, "model_path": "smart_mirror.umdl"}
]
},
"subex": {
"module": "ovos-ww-plugin-snowboy",
"apply_frontend": true,
"models": [
{"sensitivity": 0.5, "model_path": "subex.umdl"}
]
},
"neoya": {
"module": "ovos-ww-plugin-snowboy",
"apply_frontend": true,
"models": [
{"sensitivity": [0.7, 0.7], "model_path": "neoya.umdl"}
]
},
"view_glass": {
"module": "ovos-ww-plugin-snowboy",
"apply_frontend": true,
"models": [
{"sensitivity": 0.7, "model_path": "view_glass.umdl"}
]
}
}You can use the following public instances to train and download your model:
- https://snowboy.2022.us hosted by @NeonGeckoCom
- https://snowboy.jarbasai.online hosted by @JarbasAi
Alternatively you can spin up a docker container locally, this only works in x86
docker run -it -p 8000:8000 rhasspy/snowboy-seasalt
then navigate to http://localhost:8000
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