Voice assistants are often accused of constantly listening in, but what’s really going on behind the scenes? How do these systems work, where they only record the trigger word (e.g., "Hey Siri") and delete everything else before sending it off? And how do these systems minimize the problem of false triggers?
How do voice assistants understand my voice?
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Voice assistants' working logic is most comparable to Google's NEST Speakers, bro. Even though Google seems to constantly listen for the phrase "Hey Google," it actually analyzes audio signals in the background. Just like NEST devices, it uses specialized microphone arrays and processors designed to distinguish voice commands. For example, it doesn’t send every sound like "Hopper Hopper Hopper" to Google—it only sends data after recognizing the trigger word.
To minimize false triggers, artificial intelligence and local audio processing models are used. Similar to NEST devices, it analyzes tone, speed, and frequency to catch fake triggers. For instance, when you say "Hey Siri," the device starts recording but filters it to only process and send the part like "Hey Siri, pay my bill." They use specialized audio processing cores (ESP) in the hardware to handle these tasks with delays as low as a thousandth of a second, preventing unwanted recordings.