跟读练习: Matt Mills: Image recognition that triggers augmented reality - 通过YouTube学习英语口语
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Reviewer.pxsieh.
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Reviewer.pxsieh.
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So wouldn't it be amazing if our phones could see the world in the same way that we do?
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As we're walking around, being able to point the phone at anything and then have it actually recognize images and objects, like the human brain,
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and then be able to pull in information from an almost infinite library of knowledge and experience and ideas.
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Well, traditionally, that was seen as science fiction, but now we've moved to a world where actually this has become possible.
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So the best way of explaining it is to just show it.
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What you can see over here is Tamara, who's holding my phone, that's now plugged in.
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So let me start with this.
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What we have here is a painting of the great poet Robbie Burns, and it's just a normal image.
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But if we now switch inputs over to the phone, running our technology, you can see effectively what Tamara is seeing on the screen.
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And when she points at this image, something magical happens.
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Now what's great about this is there's no trickery here.
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There's nothing done to this image.
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And what's great about this is the technology is actually allowing the phone to start to see and understand, much like how the human brain does.
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Not only that, but as I move the object around, it's going to track it and overlay that content seamlessly.
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Again, the thing that's incredible about this is this is how advanced these devices have become.
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All the processing to do that was actually done on the device itself.
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Now, this has applications everywhere, whether in things like art in museums, like you just saw, or in the world of, say, advertising or print journalism.
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So a newspaper becomes out of date as soon as it's printed.
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Here is this morning's newspaper and we have some Wimbledon news which is great.
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Now what we can do is point at the front of the newspaper and immediately get the bulletin.
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And it's very important that you adapt and you have to be flexible, you have to be willing to change direction at a split second.
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And she does all that.
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She's won this title.
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And that linking of the digital content to something that's physical is what we call an aura, and I'll be using that term a little bit as we go through the talk.
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So what's great about this is it isn't just a faster and more convenient way to get information in the real world, but there are times
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when actually using this medium allows you to be able to display information in a way that was never before possible.
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So what I have here is a wireless router.
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My American colleagues have told me I've got to call it a router so that everyone here understands.
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But nonetheless, here is the device.
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So now what I can do is, rather than getting the instructions for the device online, I can simply point at it.
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The device is recognized. And then...
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Begin by plugging in the great AVSL cable.
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Then connect the power.
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Finally, the yellow Ethernet cable.
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Congratulations.
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You have now completed setup.
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Awesome.
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Thank you.
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The incredible work that made that possible was done here in the UK by scientists at Cambridge.
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They work in our offices, and I've got a lovely picture of them here.
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They couldn't all be on stage, but we're going to bring their aura to the stage, so here they are.
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They're not very animated.
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This was the fourth take, I'm told.
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Okay.
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So as we're talking about Cambridge, let's now move on to technical advancements.
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Because since we started putting this technology on mobile phones less than 12 months ago,
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the speed and the processor in these devices has grown at a really phenomenal rate.
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And that means that I can now take cinema-quality 3D models and place them in the world around me.
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So, I have one over here.
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Tamara, would you like to jump in?
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Actually, you can.
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So then, after the fun comes the more emotional side of what we do, because effectively this technology allows you to see the world through someone's eyes, and for that person to be able to take a moment in time
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and effectively store it and tag it to something physical that exists in the real world.
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What's great about this is the tools to do this are free, They're open, they're available to everyone within our application.
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And educators have really got on board with the classrooms.
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So we have teachers who've tagged up textbooks, teachers who've tagged up school classrooms, and a great example of this is a school in the UK.
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I have a picture here from a video, and we're now going to play it.
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See what happens.
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Keep going.
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TV!
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Oh my god!
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Now move it either side, see what happens.
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Move away from it and come back to it.
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Oh, that is so cool!
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And then, have you got it again?
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Oh my god!
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That's a lot!
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How did you do that?
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So it's not magic, it's available for everyone to do, and actually I'm going to show you how easy it is to do by doing one right now.
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So I'm told it's called a stadium wave.
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So we're going to start from this side of the room, on the count of three, and go over to here.
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Tamara, are you recording?
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So, you're all ready.
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One, two, three, go!
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Fellows are really good, huh?
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Now we're going to switch back into the Erasmus application.
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And what Tamara is going to do is tag that video that we just took
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onto my badge so that I can remember it forever.
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Now, we have lots of people who are doing this already, and we've talked a little bit about the educational side.
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On the emotional side, we have people who've done things like sent postcards
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and Christmas cards back to their family with little messages on.
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We have people who have, for example, taken the inside of the engine bay of an old car
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and tagged up different components within an engine so that if you're stuck and you want to find out more, you can point and discover the information.
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We're all very, very familiar with the Internet.
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In the last 20 years, it's really changed the way that we live and work and the way that we see the world.
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And what's great is we sort of think this is the next paradigm shift
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because now we can literally take the content that we share, we discover and that we enjoy and make it a part of the world around us.
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It's completely free to download this application if you have a good Wi-Fi connection or 3G.
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This process is very, very quick.
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Oh, there we are, we can save it now.
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It's just going to do a tiny bit of processing to convert
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that image that we just took into a sort of digital fingerprint.
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And the great thing is, if you're a professional user, so a newspaper, the tools are pretty much identical to what we've just used to create this demonstration.
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The only difference is that you've got the ability to add in links and slightly more content.
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Are you now ready?
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We're ready to go.
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Okay, so I'm told we're ready, which means we can now point at the image, and there you all are.
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One, two, three, go.
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Well done.
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We've been a brazma.
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Thank you.
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为何要通过此视频进行口语练习？
在这个视频中，Matt Mills 讨论了图像识别与增强现实的结合，这为我们提供了一个生动的口语练习场景。通过观看并模仿他的表达方式，英语学习者可以在真实的上下文中练习语言，这有助于提高语音流利度和反应能力。将手机与现实世界结合的讨论从多个角度展现了技术的进步，邀请学习者不仅关注内容，还要关注如何表述，进而增强他们的 英语口语练习 能力。
语法与表达的语境分析
在演讲中，Matt 使用了一些关键的语法结构，下面是其中的三到五个例子：
- “What you can see over here is...” - 这个句型帮助学习者理解如何描述眼前的事物，这在日常交流和雅思口语练习中非常实用。
- “Now what we can do is...” - 表达建议或进行某项操作时，这种结构非常常见，可提高口语表达的流畅性。
- “It’s going to track it and overlay that content...” - 使用将来时态可以帮助学习者理解如何描述未来的动作或结果，加深对时态变化的理解。
- “What’s great about this is...” - 这种引导性句子可以帮助学习者在表达观点时，明确地指出其重要性或优势。
常见发音陷阱
在此视频中，有一些发音可能会让学习者感到挑战：
- “router” - 在美式英语中通常发音为 /ˈraʊtər/，而英式英语中可能是 /ˈruːtə/。了解这两种发音的差异对提高口语交流非常重要。
- “seamlessly” - 这个词可能对非母语者发音有难度，特别是在速读时，需要注意轻重音的变化。
- “content” - 学习者在该词的发音上可能会出现轻重音使用不当的情况，导致理解障碍。
通过观看视频并进行模仿练习，您不仅可以提升您的发音准确度，还有助于提高您在日常对话中的自信心。借助这些丰富的例子和表达方式，利用 看YouTube学英语 的方式，您可以更加从容地参与讨论，逐步迈向雅思口语练习的成功。
什么是跟读法？
跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。