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To continue reading this article, please exit incognito mode or log in. Visitors are allowed 3 free articles per month without a subscription , and private browsing prevents us from counting how many stories you've read. We hope you understand, and consider subscribing for unlimited online access. The last time you heard a computer convert a line of text to speech, it probably jarred. Perhaps the most common approach is simply to use an incredibly large selection of pre-recorded speech fragments from a single person.
The other competing approach uses mathematical models to re-create known sounds that are then assembled into words and sentences. While less prone to glitches, this so-called parametric approach does end up sounding robotic. What unites the two approaches, though, is that they both stitch together chunks of sound, rather than creating the whole audio waveform from scratch.
In use, the system is supplied with a new string of sound features generated from a line of text; then it attempts to create the raw sound wave to represent it from scratch. The results do sound compelling— you can listen to them yourself here. There is, however, a catch: Because WaveNet has to create the entire waveform, it must use its neural network processes to generate 16, samples for every second of audio it produces and even then, the sound is only equivalent to the quality of sound sent via telephone or VoIP calls.
Interpreting speech and the written word is notoriously difficult for artificial-intelligence systems , too. Content creation is hugely expensive for video-game makers. A way to automate some of the process would be hugely valuable, and this could be it. Experts suggest that having AI systems try to outwit one another could help a person judge their intentions.
To make AI programs smarter, researchers are creating virtual worlds for them to explore. Everything included in Insider Basic, plus the digital magazine, extensive archive, ad-free web experience, and discounts to partner offerings and MIT Technology Review events. Unlimited online access including all articles, multimedia, and more. The Download newsletter with top tech stories delivered daily to your inbox.
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Learn more and register. Addressing Bias in AI AI generates new Doom levels for humans to play. How can we be sure AI will behave? Perhaps by watching it argue with itself. Facebook helped create an AI scavenger hunt that could lead to the first useful home robots.
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