Identity/biometrics/technology marketing and writing services
How do you detect a fake voice?
As with other biometrics, you can use either active or passive voice liveness detection.
Daon describes the latter:
“Unlike active liveness, which asks the user to complete an action (like…saying a phrase), passive liveness analyzes the content of a user’s…voice biometric input via AI neural networks that assess elements like…audio artifacts, and…the pitch, tone, and cadence of the user’s voice….”
My professional experience spans DNA, face, friction ridge, iris, and voice.
But I’ve looked at many other modalities.
See the full list here.
Someone who is a biometric product marketing expert.
Someone who has three decades of expertise in biometrics.
Someone who has worked with fingerprints, faces, irises, voices, DNA, and other biometric modalities.
Someone who understands the privacy landscape in Europe (GDPR), Illinois (BIPA), California, and elsewhere.
Oh…and someone who can write.
I know someone. Bredemarket.
I’ve spent a lot of time in the Bredemarket blog looking at a variety of NIST studies of different biometric modalities.
But you can read up on them yourself.
NIST has investigated the following biometric modalities, using both definitions of the word biometrics:
But NIST has not spent taxpayer money researching other biometric modalities, such as tongue identification.
Time for another voice deepfake scam.
This one’s in Schwyz, in Switzerland, which makes reading of the original story somewhat difficult. But we can safely say that “Eine unbekannte Täterschaft hat zur Täuschung künstliche Intelligenz eingesetzt und so mehrere Millionen Franken erbeutet” is NOT a good thing.
And that’s millions of Swiss francs, not millions of Al Frankens.
Luckily, someone at Biometric Update speaks German well enough to get the gist of the story.
“Deploying audio manipulated to sound like a trusted business partner, fraudsters bamboozled an entrepreneur from the canton of Schwyz into transferring “several million Swiss francs” to a bank account in Asia.”
And what do the canton police recommend? (Google Translated)
“Be wary of payment requests via telephone or voice message, even if the voice sounds familiar.”
I was just talking about singers, songwriters, and one singer who pretended to be a songwriter.
Of course, some musicians can be both.
Willie Nelson has written songs for others, sung songs written by others, and sung his own songs.
But despite the Grok deepfake I shared last October, Willie is not known as a rapper.
Bredemarket works with a number of technologies, but it’s no secret that my primary focus is biometrics. After all, I call myself the “biometric product marketing expert,” having worked with friction ridge (fingerprint, palm print), face, iris, voice, and rapid DNA.
If I can help your biometric firm with your content, proposal, or analysis needs, schedule a free meeting with me to discuss how I can help.
Your residential biometric readers (outside of Illinois) may encounter challenges on Friday, October 31.
Face and voice, the popular combination. At least on LinkedIn. Maybe you can fool one biometric modality, but it’s much harder to fool two.
(Picture from Google Gemini)
While the deepfake video generators that fraudsters use can be persuasive, the 6-second videos created by the free version of Grok haven’t reached that level of fakery. Yet.
In my experience, Grok is better at re-creating well-known people with more distinctive appearances. Good at Gene Simmons and Taylor Swift. Bad at Ace Frehley and Gerald Ford.
So I present…Willie Nelson.
Willie with two turntables and a microphone, and one of his buds watching.
And for the, um, record, Nelson appeared in Snoop’s “My Medicine” video.
As an added bonus, here’s Grok’s version of Cher, without audio customization. It doesn’t make me believe…
Reminder to marketing leaders: if you need Bredemarket’s content-proposal-analysis help, book a meeting at https://bredemarket.com/mark/
Bredemarket