![]() But the technology to clone or fake someone’s voice is advancing quickly. There’s also the potential for voice analysis to detect illness before other signs are obvious. For example, a growing number of banks and other companies are analyzing your voiceprints, with your permission, to replace your password. Your voice is increasingly being used as a way to verify your identity. Fingerprints and face identification systems on iPhones have been spoofed in the past, but overall, they’re still an effective method of protecting people’s privacy. “When you completely change the voice, then it's not the same voice.” Despite this, it is still worth developing voice-privacy technology, Singh adds, as no privacy or security system is totally secure. “True anonymization is not possible without completely changing the voice,” Singh says. “Is the anonymization with respect to a human listener or is it with respect to a machine listener?” says Shri Narayanan, a professor of electrical and computer engineering at the University of Southern California. Rita Singh, an associate professor in Carnegie Mellon University’s Language Technologies Institute, says that total de-identification of the voice signal is not possible, as machines will always have the potential to make links between attributes and individuals, even connections that aren’t clear to humans. However, humans aren’t the only listeners. “I think it can already guarantee a much higher level of protection than doing nothing, which is the current status,” says Vincent, who has been able to reduce how easy it is to identify people in anonymization research. They’re more robotic, sound slightly pained and could-to some listeners at least-be from a different person than the original voice clips. This can involve altering the pitch, replacing segments of speech with information from other voices, and synthesizing the final output.ĭoes anonymization technology work? Male and female voice clips that were anonymized as part of the Voice Privacy Challenge in 2020 definitely do sound different. Most voice anonymization efforts at the moment involve passing someone’s voice through experimental software that will change some of the parameters in the voice signal to make it sound different. Speech anonymization efforts currently involve two separate strands: anonymizing the content of what someone is saying by deleting or replacing any sensitive words in files before they are saved and anonymizing the voice itself. “We’re almost in a situation where the systems to recognize who you are and link everything together exist, but the protection is not there-and it’s still quite far away from being readily usable,” says Henry Turner, who researched the security of voice systems at the University of Oxford.Īnonymization attempts to keep your voice sounding human while stripping out as much of the information that could be used to identify you as possible. More broadly, call centers are using AI to analyze people’s “behavior and emotion” during phone calls and evaluate the “tone, pace, and pitch of every single word” to develop profiles of people and increase sales. Last year, TikTok changed its privacy policies and started collecting the voiceprints-a loose term for the data your voice contains-of people in the US alongside other biometric data, such as your faceprint. Simple robocall scams have also recorded people saying “yes” to use the confirmation in payment scams. A small number of these cloning incidents have already happened, proving the value your voice holds. As well as your voice data potentially feeding into the vast realm of data used to show you online ads, there’s also the risk that hackers could access the location where your voice data is stored and use it to impersonate you. ![]() “These additional pieces of information help build a more complete profile-then this would be used for all sorts of targeted advertisements,” Vincent says.
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