That's the rub, the voice it hears needs to be understood by the software and let's face it, not all people articulate and pronunciate languages correctly.
@Honeybadger :: that is archived content now but that is probably were the pragma of voice search originated.
I have taken notice of how mobile search works --and how/when it does not. Amazon app Alexa voice search works real well (usually). Google search does too but is often buggy, inconclusive or wrong. Spoken word recognition, when you speak simplistically (think slowly and robotically), works best.
George Carlin had an awesome bit he used to do back in the '70's on the seven dirty words and went through how they meant different things based on their accentuation, sternness, etc..
Google voice is pretty good now but English is English there/their, loaf/love had that issue the other day.
Voice apps do not understand context that well. Baking love dish<- WTF is that?
GPT2 and GPT3 have a pretty good understanding of context by the semantics of the prompt given. This will (or is) being applied toward voice recognition apis.
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