Seems you don’t, and started your line with a question and continued to do so despite being provided with answers repeatedly . Is there some kink of roleplaying AI dev? You don’t really seem to have done your homework to do so.
Despite what some believe, keyword detection like “Hey Google” is only used to wake up a device from a low power state to perform more powerful listening, it’s not helpful for data tracking. 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 and therefore defeats the purpose. Your battery would drain very noticeably if your phone was always listening for thousands of possible words.
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.
Seems you don’t, and started your line with a question and continued to do so despite being provided with answers repeatedly . Is there some kink of roleplaying AI dev? You don’t really seem to have done your homework to do so.
Despite what some believe, keyword detection like “Hey Google” is only used to wake up a device from a low power state to perform more powerful listening, it’s not helpful for data tracking. 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 and therefore defeats the purpose. Your battery would drain very noticeably if your phone was always listening for thousands of possible words.
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 on your side in pretending you’re smart? You have no idea who I am or what I know.
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.