1. Articles from Devin Coldewey

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    1. Blue Canoe takes on language learning with a focus on pronunciation

      Blue Canoe takes on language learning with a focus on pronunciation

      If you want to pick up a new language, there’s no shortage of options. But one aspect of the process that has been neglected is pronunciation, which is especially important for professionals. Online, learning pronunciation is generally “hear a recording, then repeat it.” A new platform, Blue Canoe uses an established curriculum and machine learning to make things easier and…

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    2. Google’s WaveNet machine learning-based speech synthesis comes to Assistant

      Google’s WaveNet machine learning-based speech synthesis comes to Assistant

      Last year, Google showed off WaveNet, a new way of generating speech that didn’t rely on a bulky library of word bits or cheap shortcuts that result in stilted speech. WaveNet used machine learning to build a voice sample by sample, and the results were, as I put it then, “eerily convincing.” Previously bound to the lab, the tech has now been deployed in the latest version…

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    3. This facial recognition system tracks how you’re enjoying a movie

      This facial recognition system tracks how you’re enjoying a movie

      As moviemaking becomes as much a science as an art, the moviemakers need to ever-better ways to gauge audience reactions. Did they enjoy it? How much… exactly? At minute 42? A system from Caltech and Disney Research uses a facial expression tracking neural network to learn and predict how members of the audience react, perhaps setting the stage for a new generation of Nielsen ratings.

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    4. Microsoft hits a speech recognition milestone with a system just as good as human ears | Follow @2Elearning

      Microsoft hits a speech recognition milestone with a system just as good as human ears | Follow @2Elearning

      It’s a red-letter day at Microsoft Research: a team working on speech recognition has hit a serious symbolic goal with a system that’s as good as you at hearing what people are saying. Specifically, the system has a “word error rate” of 5.9 percent, on par with professional human transcribers.

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    1-8 of 8
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    :-) Apple hires CMU professor as director of AI research to smarten up Siri | Follow @2Elearning Microsoft hits a speech recognition milestone with a system just as good as human ears | Follow @2Elearning This neural network could make animations in games a little less awkward This facial recognition system tracks how you’re enjoying a movie Google’s Transformer solves a tricky problem in machine translation Global Learning XPRIZE awards $1 million each to final five teams Google’s WaveNet machine learning-based speech synthesis comes to Assistant Blue Canoe takes on language learning with a focus on pronunciation The New Age of Business Success: Will Unicorns Survive? L&OD Systems Support Analyst - Ford Motor Company - Dearborn, MI Early Education Is a Gamechanger: New Report Shows That Reaching Infants and Toddlers Reduces Special ... - The 74 Duolingo can now help you learn Chinese