AI Reconstructs Faces Using Audio Recordings
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by UtopiaNemo
6 hours ago

I have the utmost respect for each of these developers. I must say I think they’re mostly incorrect in their assessments of why the Dreamcast failed. The Dreamcast’s ultimate failure had so little to do with the way Sega handled the Dreamcast. Sega and their third party affiliates such as Namco and Capcom put out so many games of such stellar quality, that the Dreamcast won over a generation of gamers who had previously been diehard Nintendo or Sony fans. They even won me over, who had been a diehard Sega fan since the SMS days, but was so disillusioned by the Saturn’s handling that I had initially decided to sit the Dreamcast out. At that time, the Dreamcast launch was widely considered to be the strongest console launch in US history. In my opinion, the three issues leading to the fall of the Dreamcast were (in inverse order):1)piracy, 2)Sega’s great deficit of finances and cachet following the Saturn debacle, and 3)Sony’s masterful marketing of the PlayStation 2. Piracy’s effect on Dreamcast sales is a hotly debated topic, but I’ll say that the turn of the millennium, most college and post-college guys I knew pirated every bit of music or software they could. Regarding the Saturn debacle, the infighting between SOA and SOJ is well known, as are the number of hubristic decisions Mr. Nakayama made which left Sega in huge financial deficit. They were also directly responsible for erasing a lot of the respect and good will Sega had chiseled out worldwide during the Mega Drive/Genesis era. With the Dreamcast, Sega was digging itself out of a hole. They had seemingly done it as well, and would have surely continued along that path, had it not been for the PS2. There is no doubt in my mind that the overwhelming reason the Dreamcast failed was because of the PS2.

by Philip Ho
9 hours ago

Great stuff Fran!

What the hell are you saying? I can't make sense of it.

AI Reconstructs Faces Using Audio Recordings
28 May, 2019

More terrifying news from the AI world: complex algorithms can now reconstruct a facial image from an audio recording of a person speaking.

In a paper titled “Speech2Face: Learning the Face Behind a Voice“, a team of researchers examines an approach that could allow defining facial attributes using audio recordings. “How much can we infer about a person’s looks from the way they speak? In this paper, we study the task of reconstructing a facial image of a person from a short audio recording of that person speaking”, states the description.

The team behind the paper designed and trained a deep neural network that perform this task using millions of natural Internet/YouTube videos of people speaking. During training, their model learned voice-face correlations that lets it produce images that “capture various physical attributes of the speakers such as age, gender and ethnicity”. This is said to be done in a self-supervised manner, utilizing the natural co-occurrence of faces and speech in Internet videos, without the need to model attributes explicitly.

The paper studies the whole idea in depth and evaluates how reconstructions resemble the true face images of the speakers. You can learn more about the work and find the full paper here.

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gayjoeBeggar MidasFrank Trifonovic Recent comment authors

What about a research that link your voice to your criminal record? minority report is not very far.

Beggar Midas
Beggar Midas

Well, that’s a very novel, frankly terrifying method of walking backwards from the data to the identity. Comes jam packed with a bunch of consequences I strongly doubt the study authors have bothered to consider, too. You’ve just found a means of unmasking everyone, everywhere that’s ever been, or ever will be recorded. Let that sink in, roll it around in your skull for a bit to more fully process it. Take some time letting that maxwell’s demon eat away any remaining peace of mind you may have remained in possession of until this moment, despite everything previous to it… Read more »

Frank Trifonovic
Frank Trifonovic

Let’s see how long it takes before the SJWs accuse this algorithm of racism and try to dox it.


5 days. im here now b*tch