シャドーイング練習: 【中英双语】黄仁勋嘉宾演讲 - CMU卡耐基梅隆大学2026毕业典礼 - YouTubeで英語スピーキングを学ぶ
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Thank you for your many contributions to advancing science and technology,
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Thank you for your many contributions to advancing science and technology,
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and for many ways your leadership continues to expand human possibility and shape a better future for people around the world.
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And now please join me in extending a warm welcome to Jensen Wong, our keynote speaker.
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President Jahanian, members of the Board of Trustees,
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faculty, distinguished guests, proud parents and families,
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and above all, the Carnegie Mellon Class of 2026!
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Thank you for this extraordinary honor.
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It is deeply meaningful to be here with Carnegie Mellon,
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one of the world's great universities and one of the rare places that invents the future.
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Today is a day of pride and joy.
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A dream come true for you,
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but not only for you.
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Your families, teachers, mentors, and friends help carry you here.
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Before we talk about the future, thank them.
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This day belongs to them too.
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Graduates, please stand up.
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Stand with me.
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Come on you guys.
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Especially, turn to your mothers and wish them a happy Mother's Day.
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For you, this is another step in your life,
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but for her, This is a dream come true.
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Please sit down.
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CMU students like robots take instructions one at a time.
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To see your graduate, to see you...
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Okay, everybody focus.
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I have something important to tell you.
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To see you graduate from one of the world's great institutions,
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this is her moment too.
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My mom and dad are deeply proud of me as well.
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My journey is their journey.
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I am their dream come true.
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And their dream was the American dream.
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Like many in this audience,
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I'm a first generation immigrant.
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My father had a dream to raise his family in America.
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When I was nine years old,
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he sent my older brother me to the United States.
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We ended up at a Baptist boarding school in Oneida, Kentucky.
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Coal country.
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A town of a few hundred people.
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Two years later, my parents left everything behind to join us.
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They came with little to nothing.
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My father was a chemical engineer.
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My mother worked as a maid at a Catholic school.
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She woke me up at 4 a.m in the morning to deliver newspapers.
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My older brother got me a job as a dishwasher at Denny's,
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which at the time felt like a major career advancement.
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That was my view of America.
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Not easy, but full of opportunities.
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Not a guarantee, but a chance.
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My parents came here because they believed America could give their children a chance.
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How can we not be romantic about America?
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I went to Oregon State University.
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I met my wife, Lori,
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when I was 17 years old.
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I was the youngest kid in school.
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We were sophomore lab partners.
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She was 19.
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An older woman.
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I beat out 250 other boys in class and want her heart.
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We've now been married for 40 years.
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We have two amazing children, both working at NVIDIA.
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When I was 30, I started NVIDIA with Chris Malachowski Curtis Pring,
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two amazing computer scientists.
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We wanted to build a new kind of computer,
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one that could solve problems ordinary computers could not.
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We had absolutely no idea how to build a company,
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raise money, or run NVIDIA.
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I just thought, how hard could it be?
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It turns out it is super hard.
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Our first technology didn't even work.
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We ran out of, we nearly ran out of money.
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At one point I had to fly to Japan
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and explain to Sega's CEO that the technology they contracted us to build would not work.
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Asked to be released from a contract we could not complete and then asked that they still pay us.
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Without the money, NVIDIA would vaporize.
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It was embarrassing, humiliating, and one of the hardest things I have ever done.
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And SEGA CEO, Irmajri San, said yes.
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I learned early that being CEO is not about power,
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but the responsibility that comes with keeping the company alive.
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And that honesty and humility can be met with generosity and kindness, even in business.
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We used the money to reset the company,
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and out of desperation we invented new ways of designing chips and computers that we still use today.
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For 33 years, NVIDIA had reinvented itself over and over again,
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each time asking, how How hard can it be?
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And each time learning, it's harder than we thought.
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But through those experiences, we learn never to see failure as the opposite of success.
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Each failure is just another learning moment,
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a humility moment, a character strengthening moment.
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The resilience forged through setbacks is what gives you the strength to go again.
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Today, I am one of the longest serving CEOs in technology.
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NVIDIA, the body of work I share with 45,000 extraordinary colleagues,
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is my life's work.
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Now it's your time to realize your dreams.
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And the timing could not be more perfect.
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My career started at the beginning of the PC revolution.
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Your career starts at the beginning of the AI revolution.
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I cannot imagine a more exciting time to work to begin your life's work.
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AI started right here at Carnegie Mellon.
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I've heard countless AI jokes in the last 24 hours here at Carnegie Mellon.
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Carnegie Mellon is one of the true birthplaces of artificial intelligence and robotics.
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In the 1950s, researchers here created the logic theorist,
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widely recognized and considered the first AI computer program.
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In 1979, Carnegie Mellon founded the Robotics Institute.
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This morning I visited with RoboClub,
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the first academic institute devoted entirely to robotics.
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Artificial intelligence has gone on now to reinvent computing completely.
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I have lived through every major computing platform shift.
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Game frames, PCs, the internet, mobile, and cloud.
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Each wave built on the one before.
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Each expanded access, each transformed industries and society,
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but what is about to happen now is bigger than anything before.
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Computing is undergoing a complete reset,
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not since modern computing was first invented.
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For 60 years, computing worked the same way.
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Humans wrote software, computers executed instructions, that paradigm is over.
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Artificial intelligence has reinvented computing from human coding to machine learning,
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from software running on CPUs to neural networks running on GPUs,
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and from following instructions to understanding,
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reasoning, planning, and using tools.
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A new industry has emerged to manufacture intelligence at scale.
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Because intelligence is foundational to every industry, every industry will change.
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For many, AI creates uncertainty.
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People see AI writing software,
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generating images, driving cars, and naturally wonder what happens next.
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Will jobs disappear?
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Will people be left behind?
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Will this technology become too powerful?
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Every major technological revolution in history created fear alongside opportunity.
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When society engages technology openly,
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responsibly, and optimistically, we expand human potential far more than we diminish it.
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So first and above all, we must be clear-eyed.
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Artificial intelligence, the automation of understanding,
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reasoning, and problem solving is one of the most powerful technologies humanity has ever created.
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And like every transformative technology before it,
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it will bring both great promise and real risks.
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The responsibility of our generation is not only to advance AI,
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but to advance it wisely.
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Scientists and engineers have a profound responsibility to advance AI capabilities and AI safety together.
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Policy makers.
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Policymakers have a responsibility to create thoughtful guardrails that protect society while still allowing innovation,
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discovery, and progress to move forward.
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History shows that societies that retreat from technology do not stop progress.
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They only surrender the opportunity to shape it and to benefit from it.
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So the answer is not to fear the future.
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The answer is to guide it wisely,
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build it responsibly, and ensure that its benefits reach as many people as possible.
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We should not teach fear of the future.
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We should engage it with optimism, responsibility, and ambition.
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Only a fraction of the people in the world know how to write software.
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Now anyone can ask AI to build something useful.
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A shopkeeper can create a website and grow a business.
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A carpenter can design a kitchen and offer new services to clients.
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The AI writes the code.
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Everyone is now a programmer.
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For the first time, the power of computing and intelligence can truly reach everyone and close the technology divide.
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The first time.
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And like electricity and the internet before it,
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AI will require trillions of dollars of infrastructure investment.
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This is the largest technology infrastructure build out in human history
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and a once in a generation opportunity to re-industrialize America and restore the nation's capacity to build.
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To support AI, America will build chip factories,
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computer factories, data centers, and advanced manufacturing facilities across the country.
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AI gives America the opportunity to build again.
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Electricians, plumbers, iron workers, technicians,
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builders, this is your time.
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AI is not just creating a new computing industry,
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it is creating a new industrial era.
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Powering this new infrastructure will require enormous amounts of energy,
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but it is also driving one of the largest investments in
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energy infrastructure in generations modernizing the grid expanding power generation
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and accelerating sustainable energy and yes AI will change every job
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but the tasks
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and the purpose of a job are not the same many tasks will be automated some jobs will disappear
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but many new jobs and entire new industries will be created software coding tasks are increasingly automated
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but using AI software engineers can expand the search for solutions
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allowing them to tackle far more ambitious challenges analyzing radiology scans is increasingly automated.
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But using AI, radiologists are elevated to better diagnose disease and care for patients.
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AI does not replace human purpose.
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It amplifies human capability.
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That is why even as AI writes more code and analyzes more scans,
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demand for software engineers and radiologists continue to grow.
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AI is not likely to replace you but someone using AI better than you might.
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So a good thought experiment is this.
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Do we want our children to be supercharged by AI or be left behind by those who are.
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No parent wants their child left behind.
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So let us build AI safely.
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Let us also imagine an optimistic future.
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One our children are excited to be part of, inspired to help build.
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So we can and must do four things at once.
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Advance safely, create thoughtful policies,
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make AI broadly accessible, and encourage everyone to engage.
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Everyone should have AI.
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Opportunities should not belong only to the people who can code.
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Class of 2026, you are entering the world at an extraordinary moment.
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A new industry is being born.
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A new era of science and discovery is beginning.
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AI will accelerate the expansion of human knowledge and help solve problems once beyond our reach.
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We have the opportunity to close the technology divide
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and bring the power of computing and intelligence to billions of people for the very first time.
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To re-industrialize America and restore our capacity to build.
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And to help create a future more abundant,
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more capable, and more hopeful than the world you inherited.
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No generation has entered the world with more powerful tools or greater opportunities than you.
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We are all standing at the same starting line.
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This is your moment to help shape what comes next.
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So run, don't walk.
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Carnegie Mellon has a motto I love.
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My heart is in the work.
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So put your heart in the work.
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something worthy of your education,
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your potential, and the people who believed in you long before the world did.
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Congratulations Carnegie Mellon class of 2026.
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この動画でスピーキングを練習する理由
この卒業式のスピーチは、英語スピーキング練習に最適です。スピーチの内容は感動的で、聞く側にとって共感を呼ぶエピソードが豊富に含まれています。このような文脈で英語を学ぶことは、単なる文法の習得だけでなく、感情や表現力を豊かにするために非常に重要です。特に、英語スピーキング練習においては、実際の状況や心情を理解し、自分の言葉で表現することが求められます。スピーカーの情熱やメッセージを身近に感じることができ、モチベーションを高める効果もあります。
文法と表現のコンテキスト
- "thank you for your many contributions": 感謝を表現する際の定型的なフレーズです。この表現は、相手の努力や成果を称賛する時に役立ちます。
- "This day belongs to them too": 所属感を強調することで、聞き手に参加意識を持たせることができる表現です。
- "My journey is their journey": 自分の成功が周囲の支えによるものであることを示す、感情的な表現です。大切な人々とのつながりを強調する際に使えます。
- "Not a guarantee, but a chance": 希望や可能性を表現するための強い対比を用いたフレーズです。ポジティブなメッセージにも最適です。
発音の落とし穴
この動画の中で特に注意が必要な発音としては、「contributions」や「possibility」が挙げられます。これらの言葉は速く発音されることが多く、音が繋がってしまうことがあります。また、「parents」や「mothers」といった単語は母音の明瞭さが重要です。これらを正確に発音するためには、shadow speechやshadowspeakを使った練習が非常に効果的です。何度も聞いて繰り返し練習することで、自然なリズムと流暢さを身につけることができるでしょう。
この動画を単なる視聴に終わらせず、実際に声に出して練習することで、英語スピーキングの向上につなげましょう。ぜひ、スピーチの内容を反復し、shadow speakに取り組んでみてください。
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。