4 ms·

How close (# years?)are we to being able to replicate the voices of any given individual with sufficient samples of their voiceprint?

qq66 10y ago
"My voice is my passport."
- M_Grey 10y ago
  Verify me.
  - elcct 10y ago
    Tom Cruise?
  - wiz21c 10y ago
    aahahahaha !
- saycheese 10y ago
  Sneakers (1992): My Voice Is My Passport https://m.youtube.com/watch?v=-zVgWpVXb64 https://m.youtube.com/watch?v=-zVgWpVXb64
PieSquared 10y ago
It's hard to say! We don't quite know exactly how many parameters or minutes of audio are needed to describe fully someone's voice and speaking patterns. Maybe one or two, maybe much more.
- hulahoof 10y ago
  Do you expect derivatives of this to surpass the effort by Adobe with VoCo? From my untrained perspective they appear quite similar in functionality
  - PieSquared 10y ago
    I don't quite know what VoCo does, but it seems like a concatenative system that they've tuned a huge amount. I'm a little skeptical that it works as well and as reliably in real life as it does in demos. But, even so, there parametric models tend to be much smaller in size and more flexible, so there may be applications where WaveNet-style systems are applicable in ways concatenative systems can't handle (high quality on-device TTS, emotive TTS, speaker synthesis for new unheard speakers, etc).
amelius 10y ago
A simpler problem could be to identify someone based on voice. Is that problem already solved? And can we use this to solve the problem of generating someone's voice?
- alephnil 10y ago
  That has been possible for years, and is even a typical student assignment in speech processing courses. A quick search gave this example course at Cornell http://people.ece.cornell.edu/land/courses/ece5760/FinalProjects/f2008/pae26_jsc59/pae26_jsc59/index.html http://people.ece.cornell.edu/land/courses/ece5760/FinalProj...
Dowwie 10y ago
now? https://www.youtube.com/watch?v=XfcqBElF0ZI https://www.youtube.com/watch?v=XfcqBElF0ZI
- M4v3R 10y ago
  Afaik VoCo isn't creating anything from thin air, instead it scans the available voice data (it reportedly needs a sample of about 20 mins of a person speaking) and copies fragments of it in specific order to create a sentence.

qq66 10y ago

"My voice is my passport."

M_Grey 10y ago
Verify me.
- elcct 10y ago
  Tom Cruise?
- wiz21c 10y ago
  aahahahaha !
saycheese 10y ago
Sneakers (1992): My Voice Is My Passport https://m.youtube.com/watch?v=-zVgWpVXb64 https://m.youtube.com/watch?v=-zVgWpVXb64

PieSquared 10y ago

It's hard to say! We don't quite know exactly how many parameters or minutes of audio are needed to describe fully someone's voice and speaking patterns. Maybe one or two, maybe much more.

hulahoof 10y ago
Do you expect derivatives of this to surpass the effort by Adobe with VoCo? From my untrained perspective they appear quite similar in functionality
- PieSquared 10y ago
  I don't quite know what VoCo does, but it seems like a concatenative system that they've tuned a huge amount. I'm a little skeptical that it works as well and as reliably in real life as it does in demos. But, even so, there parametric models tend to be much smaller in size and more flexible, so there may be applications where WaveNet-style systems are applicable in ways concatenative systems can't handle (high quality on-device TTS, emotive TTS, speaker synthesis for new unheard speakers, etc).

amelius 10y ago

A simpler problem could be to identify someone based on voice. Is that problem already solved? And can we use this to solve the problem of generating someone's voice?

alephnil 10y ago
That has been possible for years, and is even a typical student assignment in speech processing courses. A quick search gave this example course at Cornell http://people.ece.cornell.edu/land/courses/ece5760/FinalProjects/f2008/pae26_jsc59/pae26_jsc59/index.html http://people.ece.cornell.edu/land/courses/ece5760/FinalProj...

Dowwie 10y ago

now? https://www.youtube.com/watch?v=XfcqBElF0ZI https://www.youtube.com/watch?v=XfcqBElF0ZI

M4v3R 10y ago
Afaik VoCo isn't creating anything from thin air, instead it scans the available voice data (it reportedly needs a sample of about 20 mins of a person speaking) and copies fragments of it in specific order to create a sentence.