Raspberry Pi-powered prototype proves 95% accurate, 100% private, claim boffins
Researchers at the University of Michigan have proposed a way to have your privacy cake and eat your home automation too. They’ve found a means of using a voice-activated smart speaker system without it having to listen to everything you say – and no, it’s not “pressing a button.”
“There are a lot of situations where we want our home automation system or our smart speaker to understand what’s going on in our home, but we don’t necessarily want it listening to our conversations,” said the aptly named Alanson Sample, associate professor of electrical engineering and computer science at the University of Michigan.
“And what we’ve found is that you can have a system that understands what’s going on and a hard guarantee that it will never record any audible information.”
How? A video showcasing the technology explains.
Smart speakers and other voice-activated assistant systems listening in without due cause isn’t a theoretical problem. Back in 2019, a cache of recordings made by Google Assistant devices was discovered by Belgian journalists, with 153 of the 1,000 or so recordings identified clearly as private conversions picked up by mistake.
A year later, a botched update saw Google Home speakers begin recording without authorisation as part of a supposedly opt-in feature designed to warn of smoke alarm triggers or glass breaking. It’s not just Google either. In 2018 an Oregon couple found their Amazon Echo had been leaking private conversations – again recorded without the wake word being uttered.
“Smart technology today is an all-or-nothing proposition. You can either have nothing or you can have a device that’s capable of constant audio recording,” Sample said. “PrivacyMic offers another layer of privacy – you can interact with your device using audio if you choose or you can have another setting where the device can glean information without picking up audio.”
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The trick: listening to ultrasonic sound, rather than the lower frequencies associated with audible speech. “A conventional microphone placed in somebody’s home for months at a time could give doctors richer information than they’ve ever had before, but patients just aren’t willing to do that with today’s technology,” Sample said.
“But an ultrasonic device could give doctors and medical schools unprecedented insight into what their patients’ lives are really like in a way that the patients are much more likely to accept.”
Powered by – what else? – a Raspberry Pi single-board computer and low-cost ultrasonic microphone, the prototype PrivacyMic listens out for sounds associated with human activity: tooth brushing, toilet flushing, vacuuming, running the dishwasher, even using computer monitors – and proved capable of identifying them over 95 per cent of the time.
Participants, meanwhile, were asked to listen to the recordings played back, without a single one able to make out discernible speech.
Sample and his team claimed that implementing a PrivacyMic system in a smart speaker would require “only minor modifications” at a very low cost, but that such a commercialisation of the technology – which is in the process of being patented by the University of Michigan’s Office of Technology Transfer – was “likely several years off.”
“Smart speakers take notes of everything we ask them to do or search for. And that is how we create a portrait of ourselves for companies that manufacture those devices,” said NordVPN’s Daniel Markuson of the risks posed by smart speaker systems.
“The data they gather is stored permanently and later helps companies to sell even more products or help other marketers to target their audiences. So, the real price we pay for smart speakers is our privacy and security.”
“Many people don’t take any action as they are not informed enough,” Markuson continued – and with NordVPN’s most recent survey on the topic suggesting over 42 per cent of Britons own and actively use a smart speaker, that’s a problem.
“Being aware of possible threats motivates people to take responsibility for their own privacy.”
Sample has uploaded a copy of the paper as a PDF under open-access terms. ®