I'm trying to reverse engineer the "OK google" functionality implemented in
my phone.
What do you suppose I do with those feature / data sets? Since "OK google"
responds to my voice independently of the rate of speech, methinks they are
using a combination of regression analysis and discrete time warping.
But, it's seemingly both speaker and pitch independent too, so there must
be something else going on. There's no way they implemented a full Hidden
Markov Model inside the phone's DSP, (it wouldn't make sense for just one
hotword).
Thoughts?
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