Voice Recognition As Fast As Possible

Techquickie ·Techquickie ·2016-05-06 · 999 words · ~4 min read
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0:00 so when I was a kid having a conversation with your computer went a little something like this you would lie
0:05 down on the couch and vent about all the problems in your life or whatever then
0:09 you'd have to get up type your own response press enter and listen back to
0:13 the insights that it had to offer pathetic right fast forward 25
0:20 years and voice recognition a technology
0:24 kind of like VR where someone is always claiming that they've made a big
0:28 breakthrough and it turns out to be kind of crap is finally gaining widespread
0:33 adoption so early forms of voice recognition had very limited
0:37 vocabularies some of the first systems from the 1950s could only recognize
0:41 about 10 words and even about 30 years
0:44 later that number had grown to only around 20,000 which may seem like a lot
0:49 but remember that the English language has over 1 million words on top of that
0:54 early software couldn't predict what words you were trying to say by using
0:59 context so to these programs it was just
1:02 as likely that you were trying to say bacon and legs as bacon and eggs
1:06 fortunately though we finally got computers in the late 1980s and early
1:10 1990s that had more storage and processing power allowing them to
1:15 comprehend more natural speech instead of forcing you to talk like this so they
1:21 could understand and nowadays Technologies like Siri and Cortana don't
1:26 rely on a limited dictionary or the relatively weak processor in your device
1:32 at all instead they use huge Cloud
1:35 databases that store millions of words and phrases and have lightning fast CPUs
1:40 to understand what you mean with much more Precision Google speech recognition
1:45 software even learns from real search engine strings and can also recognize a
1:50 variety of accents so you can use it whether you're from Eastern Canada or
1:54 Southern Texas but can the power of the cloud do more when you ask your phone
1:59 for a sports score how does it know to
2:02 tell you how your favorite team is doing instead of where to find a spor store
2:07 well instead of listening to just one word at a time and I alluded to this
2:11 before it listens to other words as well
2:14 for context and uses probabilities to determine what you're trying to say this
2:19 is a pretty involved process that uses complex mathematical models Google for
2:24 example uses an artificial neural network that functions similarly to your
2:28 own brain using dig neurons to learn what people are saying
2:32 and you can actually see this in action as Google Now often changes what it
2:37 thinks you said on the fly as you continue speaking and it gets better
2:42 greater amounts of processing power have enabled everything from realtime
2:46 translation to being able to talk to game characters with a VR headset to
2:52 emotion tracking in which a computer can use the timing and pitch of your voice
2:56 to figure out how you're feeling we're even seeing it deployed in fighter
3:00 aircraft so Pilots can concentrate on mission objectives instead of fiddling
3:05 with cockpit switches but although voice recognition has come a really long way
3:10 its proliferation has presented us with some new challenges one big concern has
3:15 been finding ways to filter out background noise so you'll still get
3:18 correct results even if you're standing in the middle of a busy street and
3:22 speaking of standing in public another massive issue is privacy many types of
3:28 voice recognition software imp improve upon themselves by learning user habits
3:33 and combined with Cloud processing we've already seen some real concerns such as
3:37 with Samsung Smart TVs earlier this year
3:40 which had a privacy policy which some people believed allowed Samsung to
3:44 monitor your living room conversations so while the tech has
3:48 great potential we also need to make sure it won't leave us all feeling like
3:52 Winston Smith from 1984 and on the subject of 1984 you know
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4:56 for sponsoring fast as possible all right so that's pretty much thanks for
5:00 watching guys if you liked this video do that thing if you disliked it do the
5:03 other thing don't forget to check out our other channels like Channel super
5:06 fun where we do like crazy banana stuff like throw darts at pizzas and then eat
5:12 pizzas covered in Marmite or hot sauce or whatever it's it's good stuff check
5:15 it out up there and I think that pretty much wraps it up right don't forget to leave a comment if you have suggestions
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5:23 guys next time