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<p><a class="moz-txt-link-freetext" href="https://www.abc.net.au/news/2018-09-18/china-social-credit-a-model-citizen-in-a-digital-dictatorship/10200278">https://www.abc.net.au/news/2018-09-18/china-social-credit-a-model-citizen-in-a-digital-dictatorship/10200278</a><br>
</p>
<div class="moz-cite-prefix">On 2019. 06. 08. 9:24, János Sugár
wrote:<br>
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<blockquote type="cite"
cite="mid:f06240803d92112bee017@[192.168.0.59]">
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<title>Portraits Based On Someone's
Voice</title>
<div><a
href="https://gizmodo.com/an-algorithm-generated-eerily-accurate-portraits-based-1835327568"
moz-do-not-send="true"><u><b><span></span>An Algorithm
Generated Eerily Accurate Portraits Based Only On
Someone's Voic<font size="+1">e</font></b></u></a></div>
<div><font size="+3"><b><br>
</b></font></div>
<div>MIT researchers published a paper last month called <a
href="https://arxiv.org/pdf/1905.09773.pdf"
moz-do-not-send="true">Speech2Face: Learning the
Face Behind a Voice which explores how an algorithm can
generate
a face based on a short audio recording of that person. It's
not an
exact depiction of the speaker, but based on images in the
paper, the
system was able to create an image of a front-facing face with
a
neutral expression with accurate gender, race, and age.<br>
</a></div>
<div><a
href="https://gizmodo.com/an-algorithm-generated-eerily-accurate-portraits-based-1835327568"
moz-do-not-send="true"><span></span>https://gizmodo.com/an-algorithm-generated-eerily-accurate-portraits<span></span>-based-1835327568</a></div>
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