I'm trying to make a custom wakeword. I'm following this guide: Training your own wake word. Here are my steps to do my wake word:
- precise-collect
- precise-train
- precise-train-incremental
- precise-test
- precise-listen
- precise-convert
After I have done all those steps, I configurate a json file with this command:
Here is my config:
{
"max_allowed_core_version": 21.2,
"listener": {
"wake_word": "hey-nestore"
},
"hotwords": {
"hey-nestore": {
"module": "precise",
"local_model_file": "/home/pi/mycroft-precise/hey-nestore.pb",
"sensitivity": 0.1,
"trigger_level": 10
}
}
}
Sensitity to 0.1 to prevent false positives and trigger_level to 10 to prevent Mycroft to unintentionally activate.
Then I reload the config with:
And finally lauch the client with:
Now, with my model and my training (don't forget that I have done the "precise-train-incremental" training too), the detection of my wakeword is very inaccurate. When clapping in my hand, the client detect my wakeword.
Am I the only one, who can't make an accurate model ?
I'm trying to make a custom wakeword. I'm following this guide: Training your own wake word. Here are my steps to do my wake word:
After I have done all those steps, I configurate a json file with this command:
Here is my config:
Sensitity to 0.1 to prevent false positives and trigger_level to 10 to prevent Mycroft to unintentionally activate.
Then I reload the config with:
And finally lauch the client with:
Now, with my model and my training (don't forget that I have done the "precise-train-incremental" training too), the detection of my wakeword is very inaccurate. When clapping in my hand, the client detect my wakeword.
Am I the only one, who can't make an accurate model ?