
The fear is that deep fakes could unduly destroy reputations and even set off unrest. China’s Baidu and a handful of startups including Lyrebird and iSpeech have been selling voice cloning for commercial use in human-machine interfaces. Researchers at Carnegie Mellon University recently created a system that can transfer characteristics, such as facial expressions, from a video of one person to a synthesized image of another. In what’s been called a technological arms race, universities and research companies are developing the technology to test the power of deep fakes and to beat nefarious practitioners to it. Apart from pornographers, who’s making fakes? Reddit banned the user “deepfakes,” but the technology spread and is now readily available on apps such as FakeApp. It took off as a means to create phony pornography, usually with the faces of female celebrities mapped on to porn stars’ bodies to depict sex acts that never took place. Previously, the technology was the domain of academics and researchers, but now anyone could use it. Motherboard, a Vice publication, reported in December that a Reddit user called “deepfakes” had made publicly available an algorithm for making fake videos using open-source code. According to a number of reports, voice clones can be made from little more than a few seconds of material. Apple recorded 10 to 20 hours of speech to create Siri. The Obama deep fake required 56 hours of sample recordings. The bigger the library of content a deep-learning algorithm is fed with, the more realistic the phony can be. Why are some fakes more believable than others? The manipulations are most misleading when combined with voice-cloning technology, which breaks down an audio recording into half-syllable chunks that can be reassembled into new words - the same method that’s used to create voice assistants like Apple’s Siri and Amazon’s Alexa.

As with doctored images, a piece of content can be altered by swapping in a new element - such as someone else’s face or voice - and seamlessly joining the two. An algorithm is trained to recognize patterns in actual audio or visual recordings of a particular person, a process known as deep learning. Dionne Jr., columnist and author of Why The Right Went Wrong, and Joy Reid, the host of AM Joy on MSNBC and author of Fracture.While manipulation of digital files is nothing new, this breed of believable fakery is accomplished using computer programs that employ a form of artificial intelligence. The book opens with an essay placing Obama’s oratorical contributions within the flow of American history by E.J. These speeches span Obama’s career–from his time in state government through to the end of his tenure as president–and the issues most important to our time: war, inequality, race relations, gun violence and human rights. Obama’s eloquence, both written and spoken, propelled him to national prominence and ultimately made it possible for the son of a Kenyan man and a white woman from Kansas to become the first black president of the United States. Whether acting as Commander in Chief or Consoler in Chief, Obama adopted a unique rhetorical style that could simultaneously speak to the national mood and change the course of public events. As president, Obama’s words had the power to move the country, and often the world, as few presidents before him. We Are the Change We Seek is a collection of Barack Obama’s 26 greatest addresses: beginning with his 2002 speech opposing the Iraq War and closing with his final speech before the United Nations in September 2016. A collection of Barack Obama’s greatest speeches edited by columnist E.J.
