Closed torntrousers closed 5 years ago
in your "test" directory, you should have a "wake-word" as well as "not-wake-word" directories, with each populated by the relevant files.
You should add a significant amount of not-wake-word data, particularly words/phrases that start similarly, and ones that contain similar phonemes. (camp on, crampon, lantern, amped up, etc). A mention over on chat by matthew indicated a 1:5 wake:fake word ratio was their target. More data in general isn't a bad idea for the whole thing, either.
When you train, run precise-train (options) && precise-test (model)
to get an idea how it performed on your data.
Ah yes, having the folders lamp-on/test/wake-word/ does fix it. Thanks!
I've trained a model with the phrase 'lamp on' following the guide here but then using the result I can't get any triggers when
running precise-listen
and saying the phrase 'lamp on'. Could I have done something wrong somewhere? How can I debug this? The generated model is zipped up here, can you see anything from that?