Replies: 2 comments
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That's a little odd, I also have a somewhat deep neutral-accent American english voice and in general performance seems fine. If you use openWakeWord by itself instead of via Home Assistant, is performance similar? As for pre-trained models, there seems to be a large collection of community trained models here: https://github.com/fwartner/home-assistant-wakewords-collection And yes, it is possible to run the training of a custom model locally, but it is not always straightforward to configure the environment correctly. I would start from this example notebook: https://github.com/dscripka/openWakeWord/blob/main/notebooks/automatic_model_training.ipynb |
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Thanks for the link to the wakeword collection. I see "computer" in there so I can just install those files and I think it will meet my needs. |
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I'm running Home Assistant and having nothing but problems with the stock openwakeword words recognizing my deep American voice. I've been trying to build a custom wakeword using the published Google Collab but it kept timing out and failing and now I have zero credit hours left on a free account.
Is there anyone that has already generated an openwakeword for "computer" that could just share it for me to grab?
Alternatively, is there a way to generate the openwakeword locally? Maybe a tutorial on how to install all the packages and run them in a Windows subsystem for linux session?
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