this post was submitted on 27 Apr 2025
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[–] CeeBee_Eh@lemmy.world 1 points 7 hours ago* (last edited 7 hours ago)

keyword detection like “Hey Google” is only used to wake up a device from a low power state to perform more powerful listening

That's more applicable for something like a Google Mini. A phone is powerful enough, especially with the NPU most phones have now, to perform those detecting efficiently without stepping up the CPU state.

Is there some kink of roleplaying AI dev?

Is there some kink on your side in pretending you're smart? You have no idea who I am or what I know.

Increasing the number of keywords to thousands or more (which you would need to cover the range of possible ad topics) requires more processing power

Again, you're showing your lack of knowledge here. A model doesn't use more power if trained on one class or a hundred. The amount of cycles is the same in both instances.

It's usually smart speakers that have a low powered chip that processes the wake word and fires up a more powerful chip. That doesn't exist in phones.

Edit: just to hammer home a point. Your example of "hey Google" simply waking up the device for more complex processing just proves my point. The scenario we're talking about is the same as the wake word. We're not looking to do any kind of complex processing. We're just counting the number of times a word is triggered. That's it. No reasoning out the meaning, no performing actions, no understanding of a question and then performing a search to provide a response. It's literally a "wake-word" counter.