シャドーイング練習: How to Create Viral AI Storytelling Shorts - 動画で英語スピーキングを学ぶ
レッスンを作成中...
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People are pulling billions of views with these short storytelling videos, but the second you try to make one yourself, it just gets scrolled past.
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And most people think it's all about the algorithm, when in reality they just don't have the right workflow to make these fast and good enough to go viral.
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So in this video, I'll walk you through the only workflow you'll ever need step by step, so by the end you can make scroll -stopping storytelling videos yourself
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and get ahead of most people who are still trying to
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win over the algorithm there's a loaf of bread in a
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museum in naples someone put it in the oven 1900 years ago
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and never took it out it's 79 ad just after midday the mountain opens for 18 hours ash
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and stone rain down on the city roofs collapse thousands run
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north then at one in the morning the column above the
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volcano falls in on itself what comes down the mountain isn't lava it's gas and ash at 300 degrees, moving a hundred miles an hour.
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It crosses the city in minutes.
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There's no time to suffocate.
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Death is instant.
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The heat is so sudden that muscles seize on the spot.
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Those twisted poses aren't agony.
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They're the body locking in the exact instant it happened.
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And then the ash keeps falling, 20 feet of it, and it sets hard as stone.
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Everything is sealed exactly as it was.
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Bread in the ovens, eggs on the table, the people decayed inside it and left hollow spaces behind, perfect molds of the moment they died.
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18 centuries later archaeologists filled them with plaster.
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That's what you're looking at.
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And a big thanks to OpenArt for sponsoring this video and helping me achieve this result.
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And the reason most of these get scrolled past has nothing to do with the visuals, because it gets decided before you ever open a single tool.
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Your script decides everything that comes after it, what you generate, how long each shot holds, where people lean in, and where they drop off.
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And before I write mine, there are a few crucial rules you have to follow to actually make a story people care about.
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Start by opening on an object instead of a stat, because a real thing like a loaf of bread left in an oven makes them picture a person and a story,
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when some random number never does that.
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Then write it plain and factual and let the pauses do the work, so you break your lines into different parts and give the big moments a bit of silence instead of over -hyping them.
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And the biggest one of all, you go after something the viewer thinks they already know, because putting a new meaning on a familiar thing beats brand new information every single time.
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Now, I'll actually write mine and the story I'm doing is about Pompeii.
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The whole thing is built on breaking the belief that those famous figures in the museum in Pompeii are bodies,
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because they're just plaster somebody poured into the hollow spaces the bodies left behind in the ash.
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And I'll save that reveal for the very end.
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Then I'll open on the object, that loaf of bread sitting in a museum in Naples
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that someone put in the oven 1900 years ago and never took back out.
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From there, I'll just take it through the eruption and the ash burying the city, right up to the point where the ash sets hard as stone.
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And that's the exact line where the whole thing turns from everything getting destroyed to everything getting preserved.
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The whole script comes out to about 190 words, and that's on purpose.
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Because at the pace this format runs, that lands right around 60 seconds.
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So by the end of this part, the whole story is written and locked before I've even opened a generator.
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But the script on its own doesn't do anything yet, because the next part is what turns these words into something that actually looks like a real film people want to watch.
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So now I'll take that finished script and start building every line into its own frame, and the whole trick is getting 12 separate images to look like they belong in the same film.
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From here I'm doing the images and later the videos inside one platform called OpenArt, and I'm using it for one specific reason.
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It's got every model I need all in one place, so I'm never jumping between three separate tools or paying for three different subscriptions just to make one video.
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The link is in the description, so you can follow along with the same setup.
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Once I'm in open art, I'll open the image tool, set the model to GPT image 2, set the quality to high, and set the resolution to 4K.
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Then I'll switch the aspect ratio to 1x1 so every frame is square, and I'll leave auto polish off so it can't rewrite my prompt.
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And I'm making one image for every shot in the script.
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And I'll do all of them before I animate a single thing, because an image that comes out wrong barely costs me anything to redo, too, while a bad video costs a lot more.
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Now, there are two things I'll keep the same across all 12, and these two are the whole reason it works.
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The first is the style.
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Every prompt opens with the same style line, which is cell style 2D animation over a painted background, so 12 separate generations actually look like they're from one film.
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The second is the negatives.
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Every prompt ends with the same core list blocking anything photoreal, 3D, or anime, because without it, the model drifts toward whatever look it defaults to.
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And I'll never reword it, because that repetition is what makes 12 separate generations actually match.
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I'll start with the first frame.
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My hook, that loaf of bread sitting in a dark museum case under one warm amber spotlight.
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And I want a non -realistic painted look here so it reads like a relic instead of just a loaf of bread.
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Hit generate and see how they turn out.
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And that's exactly the look I wanted.
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One warm pool of light on the loaf, the reflection cutting across the glass, and deep shadow everywhere else.
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Now I'll paste the other 11 prompts and see how they turn out.
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And to me, each of these actually looks very realistic, which is exactly what I wanted.
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But out of all of them, the second and the fifth ones definitely stand out, because the alley in the city handles the shadowing really well while capturing the volcano in the background.
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The fifth one captures the darkness and the sheer size of the actual volcano, with the massive, thick smoke flowing over it.
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One quick note before we continue you.
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Every prompt I'll use in this video is linked in the description too, so you can copy and use them whenever you want.
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The color is actually the biggest thing tying these images together.
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The second frame through the seventh is the whole eruption back in 79 AD, so those start on a warm ochre grade and get darker and colder as the ash takes over.
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And the one thing I forced into every single one of them is a negative for lava.
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No glowing orange and no flames.
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Then everything from the 8th to the 12th is the present day museum, so those all get the cold gray color grade.
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The only exception is that opening bread shot, which sits on its own under that one warm spotlight so it feels like an object under study.
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By the end of this part, I've got all 12 images ready, and they actually look like the ones pulled from one film, but they're still just images,
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and now the real test for the AI comes when I actually turn them into video.
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Now I'll take all 12 of those images and animate them one by one and see how the model handles that.
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I'll go to the video section on the left, and there's a handful of settings I'll keep the same on each one of those 12 generations.
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I'll set the model to Seedence 2 .5 and have it animate straight from my image instead of generating anything new.
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Every video stays at 1080p resolution and one by one aspect ratio, so it matches the frames.
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Each one runs around 5 to 8 seconds, and I'll set it to one video per prompt, so I'm judging a single take each time.
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Then I'll completely turn the audio off, and I'll do it on purpose, because C -Dance generates its own audio for each video,
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so 12 videos would leave me with 12 completely unrelated background tracks,
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when what I actually want is one continuous voice running under the whole thing that I'll add later.
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This next part is where the results fall apart for many people.
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The second you let the model animate the actual painting.
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The lines wobble and it stops looking painted, which is the one thing you want to avoid from your very first video.
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So to keep that from ever happening, you keep the subject almost completely locked in place and give all the movement to the camera instead.
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That way the only thing really moving in the frame is stuff like drifting ash or dust in a beam of light.
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I'll also open every prompt by telling the model plainly to hold the exact painted style,
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because these image -to -video models drift straight toward photorealism the second you let them.
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And I'll close every prompt with negatives against any style change, morphing, flickering, or camera cuts.
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On top of that, every shot gets its own camera move.
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A slow push on one, an arc on another, a tilt up, and a slow pan across the last one.
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The exact move for each shot lives in that shot's own video prompt, so the whole camera plan is in the prompt list too.
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If every shot moved the same way, the whole thing would feel lifeless.
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Now let's give the model the prompts, hit Generate, and see if it animated the images the right way.
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Thank you.
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Thank you.
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And with all 12 animated, I now have about 77 seconds of raw footage to work with.
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But every one of these is still dead silent, so nobody would actually watch this the way it is right now.
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So now I'll give it a voice so it becomes much more engaging to watch.
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I'll move to the audio tool, open create voiceover, and set the model to 11 multilingual v2.
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For the voice itself, I go with one called Bella.
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It's professional, bright, and warm.
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Then I paste my whole script straight in.
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Normally for a story like this, you'd reach for the big dramatic movie trailer voice, but that's exactly what kills the mood.
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The single biggest control here is the speed.
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I'll keep the voice fairly bright, but I'll drop the speed to around 0 .92 seconds, and slowing it down like that reads as considered instead of rushed,
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and finally gives all those written pauses enough space to play out.
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I'll push the stability up so it stays consistent the whole way through.
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Then I'll keep style exaggeration low so it never starts acting.
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There's a loaf of bread in a museum in Naples.
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Someone put it in the oven 1900 years ago and never took it out.
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It's 79 AD.
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Just after midday, the mountain opens.
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For 18 hours, ash and stone rain down on the city.
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Roofs collapse.
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Thousands run north.
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Then at one in the morning, the column above the volcano falls in on itself.
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What comes down the mountain isn't lava, it's gas and ash at 300 degrees." And the voice comes out clean and continuous the whole way through,
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which makes it much easier to sit and watch.
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So now I can be sure the narration for the whole video sounds clear and smooth.
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But even a clean voice on its own still won't match up with a bunch of separate shots.
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And getting those two to line up is the last thing left to do.
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Now, I'll put everything together in CapCut into one continuous video that can actually go viral.
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The move that matters most is laying the voice down on the timeline first and cutting the picture to it, never the other way around.
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Then I'll drop the 12 videos against it in order.
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Then there's the square window, because my shots are all square, but the final video itself is vertical.
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I'll change the ratio to 9 by 16.
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So now any video I put next shows through one clean square window centered with room for captions around it.
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And when a video doesn't quite fit, I'll trim a bit off the start or the end, so I'll never have to speed anything up to force it.
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After that, I'll auto -caption the whole thing, pick a clean font with a soft glow and a basic entrance animation,
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and I'll keep the captions outside that square window so they never sit on top of the footage.
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For sound, I'll lay one quiet music track under the entire thing.
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So now let's watch the finished 60 -second short all the way through.
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There's a loaf of bread in a museum in Naples.
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Someone put it in the oven 1 ,900 years ago and never took it out.
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It's 79 AD.
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Just after midday, the mountain opens.
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For 18 hours, ash and stone rain down on the city.
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Roofs collapse.
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Thousands run north.
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Then at 1 in the morning, the column above the volcano falls in on itself.
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What comes down the mountain isn't lava.
145
It's gas and ash at 300 degrees, moving 100 miles an hour.
146
It crosses the city in minutes.
147
There's no time to suffocate.
148
Death is instant.
149
The heat is so sudden that muscles seize on the spot.
150
Those twisted poses aren't agony.
151
They're the body locking in the exact instant it happened.
152
And then the ash keeps falling, 20 feet of it.
153
And it sets hard as stone.
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Everything is sealed exactly as it was bread in the ovens, eggs on the table.
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The people decayed inside it and left hollow spaces behind, perfect molds of the moment they died.
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18 centuries later, archaeologists filled them with plaster.
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That's what you're looking at.
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And the final result came out really good.
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Every shot feels like part of the same painted film and the music keeps the tension right to the end.
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I went with the square format because I personally prefer it, but you can run the exact same workflow with 9 to 16 videos too
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but even with the right workflow you still won't get your storytelling shorts to go viral
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if you have to jump between a bunch of different platforms
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just to get one done luckily inside open art you've got every single tool you need in one place
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so you're not wasting time and credits anywhere else
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so sign up to open art with my link in the description
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and start making your own viral storytelling shorts today thanks for watching and I'll see you in the next one.
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このレッスンの語彙とスピーキングのポイント
この動画には、シャドーイング用の文が166文、単語が2534語あります。 音声の長さは14:41です。 話す速さは1分あたり約173語で、日常会話に近い自然なペースです。 単語の83%は英語の頻出3,000語に含まれます。残りは練習の前に確認しておきましょう。
この動画の重要語彙
動画に出てくる覚えておきたい単語15語を、発音と意味つきで紹介します。
| 単語 | 発音 | 意味 |
|---|---|---|
| oven 名詞 | /ˈʌ.vn̩/ | オーブン |
| script 名詞 | /skɹɪpt/ | 文書, 文章 |
| generate 動詞 | /ˈd͡ʒɛn.ə.ɹeɪt/ | 生む, 生み出す |
| volcano 名詞 | /vɑlˈkeɪ.noʊ/ | 火山 |
| instant 名詞 | /ˈɪnstənt/ | 瞬間 |
| lava 名詞 | /ˈlɑvə/ | 溶岩 |
| audio 形容詞 | /ˈɔ.di.oʊ/ | オーディオ |
| ratio 名詞 | /ˈɹeɪ.ʃoʊ/ | 比 |
| column 名詞 | /ˈkɒləm/ | 柱 |
| collapse 動詞 | /kəˈlæps/ | 潰える, 崩壊する |
| hollow 形容詞 | /ˈhɑloʊ/ | 空っぽ, くぼんだ |
| scroll 名詞 | /skɹoʊl/ | 巻物, スクロール |
| caption 名詞 | /ˈkæp.ʃən/ | キャプション |
| format 名詞 | /ˈfɔːɹ.mæt/ | 書式, フォーマット |
| egg 名詞 | /ɛɡ/ | 卵, 玉子 |
動画に出てくる句動詞
| 単語 | 発音 | 意味 |
|---|---|---|
| come down 動詞 | 降りる | |
| come out 動詞 | /ˌkʌm ˈaʊt/ | 出る |
| drop off 動詞 | 落ちる | |
| take over 動詞 | 引き受ける |
注意したい発音
話し手はI'll, I'm, they'reなど、短縮形や弱形を71回使っています。聞こえたとおりの短い形で発音しましょう。
- 「th」の音: algorithm /ˈælɡəɹɪðm̩/, thick /θɪk/, smooth /smuːð/, seventh /ˈsɛvənθ/
- 「sh」と「zh」の音: ratio /ˈɹeɪ.ʃoʊ/, caption /ˈkæp.ʃən/, shadow /ˈʃædəʊ̯/, capture /ˈkæp.(t)ʃɚ/, animation /ˌæn.ɪˈmeɪ.ʃən/
- 長い単語（アクセントの位置に注意）: continuous /kənˈtɪn.juː.əs/, animation /ˌæn.ɪˈmeɪ.ʃən/, automobile /ˈɔː.tə.məˌbil/, stability /stəˈbɪlɪti/, generator /ˈdʒɛnəɹeɪtə(ɹ)/
この動画での練習方法
- まず声を出さずに動画を最後まで聞き、知らない単語をメモします。
- まず0.75倍速で一文ずつシャドーイングし、慣れてきたら通常の速度に戻します。
- 自分の声を録音して元の音声と比べます。oven, script, generateなどの単語に特に注意しましょう。
この動画の文法
話し手がよく使っている文型を、動画の実際の表現とともに紹介します。
| 文型 | 動画での表現 |
|---|---|
| 受動態 be + 過去分詞 — 誰がするかより、何が起きるかに焦点を当てる | is sealed · is built · is written |
| 関係詞節 who / which + 節 — 人や物について情報を加える | people who are · line, which is · realistic, which is |
シャドーイングとは？英語上達に効果的な理由
シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。