How Unique Is Our Voice in Nature?

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Discussion Overview

The discussion revolves around the uniqueness of human voices in comparison to other biometric identifiers like fingerprints and facial recognition. Participants explore the factors that contribute to voice uniqueness, the implications of voice recognition technology, and its reliability in contexts such as identity verification by financial institutions.

Discussion Character

  • Exploratory
  • Debate/contested
  • Technical explanation

Main Points Raised

  • Some participants question the uniqueness of voices, suggesting that if voices were strictly unique, voice impressions would not be possible.
  • Others mention that certain animals, like the Severe Macaw, can mimic human voices accurately, raising questions about the distinctiveness of human voices.
  • There is a discussion about the parameters that determine voice uniqueness, with some suggesting that frequency alone is insufficient, and hinting at the importance of tone quality.
  • Concerns are raised regarding the reliability of voiceprints as evidence in court, noting that factors like speech content and length can affect accuracy.
  • Participants express skepticism about the effectiveness of voice recognition as a sole method for identity verification by financial institutions, suggesting it is typically used alongside other factors.
  • Some argue that multi-factor identification systems are more secure, as they combine various elements to enhance security against impersonation.
  • There is speculation about the potential for scammers to reverse-engineer voice recognition algorithms to create convincing imitations.
  • One participant shares a personal experience related to the challenges of two-factor authentication, highlighting the complexities of identity verification processes.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the uniqueness of voices or the reliability of voice recognition technology. Multiple competing views and uncertainties remain regarding the effectiveness of voice as a biometric identifier.

Contextual Notes

The discussion includes various assumptions about the nature of voice recognition technology and its application in security contexts, which may not be fully explored or defined.

kenny1999
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I know that things like our fingerprint is generally unique and our face is generally unique, unless a twin but chances are rare. How about our voice? Is our unique in nature? Usually how frequent do two persons have the voice indistinguishable by computer or detector? If someone intentionally speaks in a strange way could his voice be seen as a different person?
In addition, what is the parameter that determines the uniqueness of a voice?
Frequency??
 
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If this were strictly true, voice impressions would be impossible.
 
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Not only can the Severe Macaw mimic some human voices accurately enough to fool some humans sometimes; in some instances, it also knows what the words mean.
 
I believe that voiceprints are acceptable in court but not as the soul form of evidence.
Also, the content and length of the speech clipping will affect reliability and accuracy.
 
kenny1999 said:
In addition, what is the parameter that determines the uniqueness of a voice?
Frequency??
Think of two singers (one male one female) singing the same note (same frequency).
Think of a singer singing middle C compared to a trumpet playing middle C.

Obviously, it must be more than frequency. If you think about it, I'm sure you'll be answer your own question.

Edit: Here's a hint. What is the difference between pure and impure tones?
 
This raises doubts about some financial institutions using a caller's voice to verify identity. Maybe it's in conjunction with the caller's phone number.
 
pixel said:
This raises doubts about some financial institutions using a caller's voice to verify identity. Maybe it's in conjunction with the caller's phone number.
I've never encountered individual voice recognition being used by a financial institution as a sole criterion for identification; I think that, as you suggest, wherever it may be used, it's as an additional safeguard.
 
So-called multi-factor identification is widespread for bank software. Each factor may be weak, but together they are strong. The more factors, the better.

If someone mimics your voice or your face or your password, they need to log in from your phone or your laptop also. IP address can also be one of the factors, so can time-of-day when you normally log in, so can typing speed.
 
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anorlunda said:
The more factors, the better.
Absolutely.
It could actually involve quite a lot of homework on the part of a would be scammer - UNLESS the algorithm for identifying voices could be reverse engineered and a 'machine copy' could be made that would fool the validating software.
Voice recognition would be harder to beat than Mother's Maiden Name or First Pet questions.
 
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Speaking of multi-factor, I found this in today's news.
https://arstechnica.com/information-technology/2020/05/choosing-2fa-authenticator-apps-can-be-hard-ars-did-it-so-you-dont-have-to/ said:
Last year, Sergio Caltagirone found himself in a tough spot. While traveling, his phone broke and stopped working completely. With no access to his Google and Microsoft authenticator apps, he lost access to two-factor authentication when he needed it most—when he was logging in from IP addresses not recognized by the 30 to 40 sites he had enrolled.

“I had a whole bunch of sites [that] I had to go through a massively long account restoration process because I lost my 2FA,” said Caltagirone, who is senior VP of threat intelligence at security firm Dragos. “Every time, I had to contact customer service. I had different levels of requirements I had to go through for them to effectively disable 2FA on my account. Some required address verification. [For others,] I had to send a last bill. The number of those I went through was just insane.”
 
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  • #11
sophiecentaur said:
Absolutely.
It could actually involve quite a lot of homework on the part of a would be scammer - UNLESS the algorithm for identifying voices could be reverse engineered and a 'machine copy' could be made that would fool the validating software.
Voice recognition would be harder to beat than Mother's Maiden Name or First Pet questions.

Possibly interesting / disturbing ...



these technologies would certainly have methods to quantify how close two voices are to each other.
 
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