ฝึกพูดภาษาอังกฤษด้วยเทคนิค Shadowing จากวิดีโอ: Neural Radiance Fields in 2 Minutes

กำลังสร้างบทเรียน...
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What is NERF or Neural Radiance Field?
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If you are interested in the world of 3D rendering, I've got to say that NERF is a method
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that achieves a state -of -the -art result for synthesizing novel
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views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views.
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But that sounds like a lot of jargon.
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Suppose you take a few photos from different angles and NERF uses AI to fill in all the gaps.
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In simple terms, NERF is a deep learning model that generates highly realistic 3D scene from just a handful of 2D images.
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lot of computational power.
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But why is this such a big deal?
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Traditional 3D rendering techniques are computationally expensive and often require tons of manual labor to create something that looks good.
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Nerf on the other hand, automates this process using neural networks which can learn and predict the way light interacts with the objects in the scene.
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This means Faster, more accurate and more realistic 3D models with way less effort.
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One of the most exciting applications of Nerf is in virtual reality or augmented reality.
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Imagine putting on a VR headset and stepping into a world
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that is almost indistinguishable from reality
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or using AR to place virtual objects in a real environment that look like they are actually there.
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Nerf can make these experiences more immersive and lifelike than ever before and it's not just for gaming and entertainment.
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Nerf has potential applications in fields like architecture, or it can help create detailed 3D models from just a few photos,
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or in medical imaging where it can generate 3D renderings of organs from 2D scans, aiding in diagnosis and treatment.
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Of course, like any emerging technology there are challenges to overcome.
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Neural Radiance Field models require a lot of computational power and large amounts of data to train effectively.
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But as hardware gets better and algorithms become more efficient, we are likely to see NERF become more accessible and widely adopted.
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For example, this technology can be applied in various contexts such as construction sites.
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In the past few years, there has been several attempts to improve the nerf rendering quality and performance like multi -scale representation.
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By efficiently rendering anti -aliased conical frost terms instead of rays,
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MIP nerf reduces objectionable aliasing artifacts and significantly improves nerf's ability to represent fine details,
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while also being 7 % faster than nerf and half the size.
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Therefore, MIP nerf proves to be the better model for representing objects.
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Vocabulary and speaking notes for this lesson

This C1 speaking lesson is built on the video “Neural Radiance Fields in 2 Minutes”. The speaker keeps coming back to these words: nerf, rendering, model, scene, neural. This video has 28 sentences and 423 words to shadow. The speech runs for 2:11. The speaker talks fast, about 194 words per minute, so expect linked and reduced sounds. Only 74% of the words are among the 3,000 most common in English, so the vocabulary is demanding.

Key vocabulary in this video

The 15 most advanced words in the video, with pronunciation and meaning:

WordPronunciationMeaning
nerf verb/nɝf/To bump lightly, whether accidentally or purposefully.
render verb/ˈɹɛn.dɚ/To cause to become.
neural adjective/ˈnʊɹəl/Of, or relating to the nerves, neurons or the nervous system.
alias noun/ˈeɪ.li.əs/Another name; especially, an assumed name.
computational adjective/ˌkɑmpjʊˈteɪʃənəl/Of or relating to computation.
artifact noun/ˈɑɹtɪfækt/An object made or shaped by human hand or labor.
augment verb/ɔɡˈmɛnt/To increase; to make larger or supplement.
automate verb/ˈɔ.təˌmeɪt/To replace or enhance human labor with machines.
computationally adverb/ˌkɑmpjʊˈteɪʃənəli/In a computational manner
conical adjective/ˈkɑ.nɪ.kəl/Of or relating to a cone or cones.
excite verb/ɪkˈsaɪt/To stir the emotions of; to cause to feel excitement.
immersive adjective/ɪˈmɜːɹ.sɪv/Tending to immerse.
indistinguishable adjective[ˌɪn.dɪˈstɪŋ.ɡwɪ.ʃə.bl̩]Not distinguishable; not capable of being perceived, known, or discriminated as separate and distinct
jargon noun/ˈdʒɑː.ɡən/A technical terminology unique to a particular subject.
lifelike adjective/ˈlaɪflaɪk/Like a living being; resembling life; being an accurate representation.

Pronunciation to watch

  • The “th” sounds: synthesize /ˈsɪnθəsaɪz/, algorithm /ˈælɡəɹɪðm̩/
  • The “sh” and “zh” sounds: computational /ˌkɑmpjʊˈteɪʃənəl/, computationally /ˌkɑmpjʊˈteɪʃənəli/, indistinguishable [ˌɪn.dɪˈstɪŋ.ɡwɪ.ʃə.bl̩]
  • Long words — get the stress right: computational /ˌkɑmpjʊˈteɪʃənəl/, computationally /ˌkɑmpjʊˈteɪʃənəli/, indistinguishable [ˌɪn.dɪˈstɪŋ.ɡwɪ.ʃə.bl̩]

How to practise with this video

  1. Listen to the whole video once without speaking and note the words you do not know.
  2. Start at 0.75× speed, shadow it sentence by sentence, then go back to normal speed once it feels easy.
  3. Record yourself and compare with the original, paying attention to words like nerf, render, neural.

เทคนิค Shadowing คืออะไร?

Shadowing เป็นเทคนิคการเรียนรู้ภาษาที่ได้รับการรับรองทางวิทยาศาสตร์ พัฒนาขึ้นสำหรับการฝึกนักแปลมืออาชีพ วิธีการนี้เรียบง่ายแต่ทรงพลัง: คุณฟังเสียงภาษาอังกฤษจากเจ้าของภาษาและพูดตามทันที — เหมือนเงาที่ตามผู้พูดด้วยช่วงเวลาห่าง 1-2 วินาที การวิจัยแสดงว่าเทคนิคนี้ปรับปรุงความแม่นยำในการออกเสียง ทำนองเสียง จังหวะ การเชื่อมเสียง การฟังเข้าใจ และความคล่องแคล่วในการพูดได้อย่างมีนัยสำคัญ

เทคนิค shadowing: อ่านคู่มือฉบับเต็มทีละขั้นตอน →