2 ms·

how do people know if its a very similar sounding voice, or identical?

by m3kw9 2y ago

johnnyanmac 2y ago
Not to be crude, but they have ears. and you'll hear uncanny likeness of a voice you follow everyday when it comes up. It's kind of like saying "how do we know that face is similar/identical"? Humans are surprisingly good at knowing when something feels off in other humans. Even if we lack the vocabulary to fully explain the difference.
- m3kw9 2y ago
  I think you unknowingly paired the speaking style, tone patterns, levels and spacing etc which isn’t actually part of their voice, but combining it with the voice print you get a clear picture. If someone cloned my voice and start speaking differently from me, different levels(soft loud) and have an accent, nobody would recognize it was me.
- echoangle 2y ago
  The problem is that there are a lot of humans, and a lot of humans with online presence. I wouldn’t really be confident in identifying a „stolen face“ online because you’re bound to look similar to someone when creating a face. Does that mean that the look was stolen or is it just coincidence? What is the likelihood of a random AI voice sounding similar to some real online creator?
  - johnnyanmac 2y ago
    >I wouldn’t really be confident in identifying a „stolen face“ online because you’re bound to look similar to someone when creating a face. Does that mean that the look was stolen or is it just coincidence? Luckily, national ID can easily solve that problem offline. It'd be a more interesting problem if some company searched far and wide to identify someone that has a similar face to [famous person]. And that's part of the issue in that there's no way to verify "is my voiced sampled here?". Opening the black box can help with that, but that's something companies are fighting to the death to not allow. > What is the likelihood of a random AI voice sounding similar to some real online creator? Given how much data was scraped, less likely than the fact that their data is in fact in the training set.

how do people know if its a very similar sounding voice, or identical?

by m3kw9 2y ago

how do people know if its a very similar sounding voice, or identical?

Not to be crude, but they have ears. and you'll hear uncanny likeness of a voice you follow everyday when it comes up. It's kind of like saying "how do we know that face is similar/identical"? Humans are surprisingly good at knowing when something feels off in other humans. Even if we lack the vocabulary to fully explain the difference.

m3kw9 2y ago
I think you unknowingly paired the speaking style, tone patterns, levels and spacing etc which isn’t actually part of their voice, but combining it with the voice print you get a clear picture. If someone cloned my voice and start speaking differently from me, different levels(soft loud) and have an accent, nobody would recognize it was me.
echoangle 2y ago
The problem is that there are a lot of humans, and a lot of humans with online presence. I wouldn’t really be confident in identifying a „stolen face“ online because you’re bound to look similar to someone when creating a face. Does that mean that the look was stolen or is it just coincidence? What is the likelihood of a random AI voice sounding similar to some real online creator?
- johnnyanmac 2y ago
  >I wouldn’t really be confident in identifying a „stolen face“ online because you’re bound to look similar to someone when creating a face. Does that mean that the look was stolen or is it just coincidence? Luckily, national ID can easily solve that problem offline. It'd be a more interesting problem if some company searched far and wide to identify someone that has a similar face to [famous person]. And that's part of the issue in that there's no way to verify "is my voiced sampled here?". Opening the black box can help with that, but that's something companies are fighting to the death to not allow. > What is the likelihood of a random AI voice sounding similar to some real online creator? Given how much data was scraped, less likely than the fact that their data is in fact in the training set.