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DaveHogue's profile
⚜️ Dave Hogue ⚜️
⚜️ Dave Hogue ⚜️
 ⚜️ Dave Hogue  ⚜️
@DaveHogue

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 ⚜️ Dave Hogue  ⚜️

@DaveHogue

Trivia-filled, Design Lead at Google, Psychologist, Speaker, Teacher, Author, Motorcyclist, Traveler, Laughs a lot, Opinions are all and always mine.

San Francisco CA USA
Joined January 2009

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    1. Luke Wroblewski‏ @lukew 18 Sep 2017

      idly wondering if these ARKit coefficients are enough for basic lip-reading.pic.twitter.com/AUaViXu1vs

      8 replies 23 retweets 80 likes
    2.  ⚜️ Dave Hogue  ⚜️‏ @DaveHogue 18 Sep 2017
      Replying to @lukew

      Only if they are also picking up and discriminating tongue and teeth placement and motion.

      1 reply 0 retweets 0 likes
    3. alex‏ @alex_pka 18 Sep 2017
      Replying to @DaveHogue @lukew

      actually that's not a hard requirement! early work in lip-reading, used simple geometric features (mouth height/width/area)

      2 replies 0 retweets 0 likes
       ⚜️ Dave Hogue  ⚜️‏ @DaveHogue 18 Sep 2017
      Replying to @alex_pka @lukew

      Cool. Didn't know that. My comm classes used teeth and tongue as signals. How accurate is recognition with only simple geometric features?

      4:11 PM - 18 Sep 2017 from Menlo Park, CA
      1 reply 0 retweets 0 likes
        1. New conversation
        2. alex‏ @alex_pka 19 Sep 2017
          Replying to @DaveHogue @lukew

          Definitely not state-of-the-art accurate. You are right, teeth and tongue helps, but w/ deep learning it's hard to know exactly what helps

          1 reply 0 retweets 1 like
        3.  ⚜️ Dave Hogue  ⚜️‏ @DaveHogue 19 Sep 2017
          Replying to @alex_pka @lukew

          I suspect we'll start to see how well deep learning can do at lip-reading in the near future.

          1 reply 0 retweets 0 likes
        4. Luke Wroblewski‏ @lukew 19 Sep 2017
          Replying to @DaveHogue @alex_pka

          That future is already here: https://www.newscientist.com/article/2113299-googles-deepmind-ai-can-lip-read-tv-shows-better-than-a-pro/amp/ …

          1 reply 0 retweets 2 likes
        5. alex‏ @alex_pka 19 Sep 2017
          Replying to @lukew @DaveHogue

          LipNet unfortunately used a very small dataset. For a large-scale SOTA system please see recent papers by Chung&Zisserman.

          0 replies 0 retweets 0 likes
        6. End of conversation

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