Today we’re excited to announce that three Machine Learning Engineers at Dessa (Hashiam Kadhim, Rayhane Mama, Joseph Palermo) have produced the most realistic AI simulation of a voice we’ve heard to date. Dessa’s mission is to stretch the limits of what can be achieved with applied machine learning responsibly. So without further ado, check it out for yourself: The replica of Rogan’s voice the team created was produced using a text-to-speech deep learning system they developed called RealTalk, which generates life-like speech using only text inputs. There are also some really good things that could come out of speech synthesis models. Ten Ways AI is the X-Factor in the Fight Against Coronavirus, Spam callers impersonating your mother or spouse to obtain personal information, Impersonating someone for the purposes of bullying or harassment, Gaining entrance to high security clearance areas by impersonating a government official, An ‘audio deepfake’ of a politician being used to manipulate election results or cause a social uprising, Talking to a voice assistant in a way that feels as natural as talking to a friend, Customized voice applications — for instance, a workout app that contains a personalized pre-workout pep talk from Arnold Schwarzenegger, Improved accessibility options for people that communicate through text-to-speech devices, for example, people with Lou Gehrig’s disease, Automating voice dubbing for any media and in any language. Poor consumers and rich consumers. So in addition to raising awareness and acknowledging these issues, we also want to show this work as a way of starting a conversation on speech synthesis that must be had. As AI practitioners building real-world applications, we’re especially cognizant of the fact that we need to be talking about the implications of this. Email. Learn more about RealTalk: For anyone who has questions, feedback or inquires about the project, connect with us by email at Rebrands as Dessa and Announces AlexNet Inventor Alex Krizhevsky as Exclusive Technical Advisor. ML Papers Explained: DDQN. A crucial advantage and responsibility we have as an applied AI company is knowing that there’s a huge difference between exploring AI in research and implementing it into the real world. How to use Foundations Atlas & TensorFlow to perform image segmentation with deep learning, Contribute to the ML community’s efforts to build better detectors for audio deepfakes, A technical overview of our text-to-speech system, RealTalk, Using convolution neural nets for supernova detection, Presented at the Toronto Deep Learning Series in November 2018. Does this Joe Rogan Deepfake Mean Video Evidence is Officially Dead? TORONTO, June 11, 2018 (GLOBE NEWSWIRE) --, a leading artificial intelligence startup that deploys customized AI solutions for enterprises, is announcing today two exciting developments for the company's future. Presented at the Toronto Deep Learning Series - Foundational Stream in February 2019. The Malicious Uses of Artificial Intelligence. AI, AI on the wall —  Who’s the Fairest of them all? Please note that this project does not suggest that we endorse the views and opinions of Joe Rogan. Here are some examples of what might happen if the technology got into the wrong hands: Obviously, though, not everything is doom and gloom. That said, we think it will be inevitably built and increasingly implemented into our world over the coming years. Follow us on Instagram and be the first to know about our latest work, what’s new in AI, and more. So not just anyone can go out and do it. A Q&A with Dessa ML engineers hosted by YK Sugi of CS Dojo. Is it a step towards Strong AI? “[In 2016] the technology was new to industry but starting to … Dessa | 3,555 followers on LinkedIn | Secret AI lab at Cash App. What is Semantic AI? They work closely with clients in establishing a blueprint to determine what they require and build AI systems suited to be used in production. Everyone should know what kinds of things are possible with the development of speech synthesis technologies. Crazy, right? To work on things like this responsibly, we think the public should first be made aware of the implications that speech synthesis models present before releasing anything open source. Because clearly, the societal implications for technologies like speech synthesis are massive. II of the blog post here for a technical overview of the text-to-speech synthesis model, data, and more. For those of you reading, we encourage you to remember that speech synthesis is getting better and better everyday. And the implications will affect everyone. A Q&A with Dessa ML engineers hosted by YK Sugi of CS Dojo. (We highly recommend checking out the report, which is freely available to download here.). Artificial intelligence stocks are rarer than you might think. Check out Pt. If you’re like us, and specifically, like our Principal ML Architect, Alex Krizhevsky, you’re probably thinking that it’s “one of the most impressive things I’ve seen yet in artificial intelligence.” Alex also noted that the work suggests that “Human-like speech synthesis is soon going to be a reality everywhere.”. Right now, technical expertise, ingenuity, computing power and data are required to make models like RealTalk perform well. This New York Times documentary offers a closer look at the creation of our Joe Rogan deepfake and the detector work that accompanies it. We’re a diverse team of curious builders with headquarters in Toronto, the birthplace of deep learning’s present-day boom. It’s surreal for our engineers to be able to say they’ve legitimately created a life-like replica of Joe Rogan’s voice using AI. Dessa’s mission is to stretch the limits of what’s possible with applied machine learning. Write to some relevant government officials! Joe was selected as a demonstrative model for the purposes of displaying the capability of this technology. Internet Companies Prepare to Fight the "Deepfake" Future, This Creepy, Ultra-Realistic Joe Rogan Deepfake Is the First of Its Kind. In 2016, the company became one of the first AI companies in the world to put a deep learning system into production for a retail bank. Here are some examples: As the recent report “The Malicious Uses of Artificial Intelligence” by Oxford’s Future of Humanity Institute notes, new advancements in artificial intelligence not only expand existing threats, but also create new ones. Because of this, at this time we will not be releasing our research, model or datasets publicly. The newsletter also features a hand-picked selection of what we think are the most compelling AI stories and articles each month, so it’s a great way of keeping track of the field as a whole. But in the next few years (or even sooner), we’ll see the technology advance to the point where only a few seconds of audio are needed to create a life-like replica of anyone’s voice on the planet. With its products, it solves some of the field’s biggest technical challenges, including reproducibility and model maintenance.