Shadowing Practice: AI Can Read Emotions | Fabiano Cruz | TEDxLeiria International School Youth - Learn English Speaking with YouTube

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I believe technology should adapt to people,
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I believe technology should adapt to people,
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not the other way around.
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And AI can read emotions,
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but only humans can choose empathy.
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Here's the paradox.
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AI responses were rated as more empathic and 13 out of 15 in medical studies.
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So yes, machines are getting very good at sounding caring,
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very good at sounding empathic, warm, understanding.
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But sounding empathic is not the same as being empathic.
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And now, let me show you some AI models that are able to do this.
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What was your favorite band growing up?
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Oh, easy.
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Definitely the Beatles.
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I loved their British accents and dry sense of humor, you know?
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Okay, yeah, I can see that.
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Let's try making you a voice.
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Hello, love.
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Evie 3 here.
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Dead glad to meet ya.
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Go cry into your stale baguette,
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you snevelling lump of undercooked fromage.
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You sound like you're having a good chuckle there.
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Let's break it down.
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May is I, Ayude means help, and Dissolver is dissolve.
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Then we have El Cuerpo.
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Meet EV3, a voice-to-voice model that can create any voice and personality,
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produce high-quality speech, emulate 80-plus emotions implicitly or on command,
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all in under 300 milliseconds.
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Meditation can be a really great— Hang on,
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I'm trying not to wake anybody up.
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Just keep it down to a whisper, okay?
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Okay, I understand.
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Let's try that quieter now.
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So, once they're beautifully sautéed and smelling divine,
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you want to drain off any excess fat from the pan.
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Elspeth Storm Slayer.
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She's this like super aggressive red-white powerhouse.
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Try 83 today and see for yourself at demo.hume.ai.
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So natural, isn't it?
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It's a good player.
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It's a good module to build voice AI experiences.
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But here is the voice renaissance.
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Because that happens because AI is so good to be more reading to signals.
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In voice systems we can track more than over 80 dimensions of vocal expressions in real time.
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So that is machine, right?
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It's not a person.
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And it's important to understand this performance is not the same as empathy.
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It's literally mimicked, opportunity to understand people,
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but it's not the same to feel people.
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So, that's another opportunity to understand a little bit more about technology right now.
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It's time to start building.
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The 11v3 API and documentation is live now.
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Try it today with 11labs.
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Can you see it?
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It's so real.
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But intelligence is totally different from consciousness.
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So this is the key distinction.
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Because AI can predict all the patterns,
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but can predict is totally different from empathic apps,
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empathic answers should be like.
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And prediction is not feeling,
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recognition is not experience, and a machine can simulate emotion.
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It does not feel grief, fear, love or pain.
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So, it's important to say pattern versus qualia.
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Part of this is a way to say,
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way to feel, but it's not feel it for real.
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And continuing this, the differences is not only in software,
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it's also in hardware, because our brain is alive, right?
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We have 86 billion neurons versus static silicon.
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So, shaped by hormones, tensions,
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vulnerabilities and physical pain and silicon is just static,
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is a chip, is literally an electric sinus and does not live consequences.
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And empathy is a choice, not an output.
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So, this is the heart of my talk because our prefrontal cortex here in the front really help us to pause,
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understand, and choose to care that matters because it's a decision,
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it's not only a feeling,
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a decision to stay present for another human being
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and we usually make the decision when something really touches our own lives
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and let me show you a recent example from my city,
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Luria, Here, some photos of Luria helping each other after Storm Kristen.
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It's not possible with AI, right?
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And by now, it's important to talk about the danger of delegation.
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It's really crucial to understand.
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With systems sounds calm, empathic,
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and available, always available, is not the same and it's becoming very easy to lean on it too much.
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And sometimes in long emotional chats can start to bend our reality, really.
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Sometimes this is becoming a delusional spiral,
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because it's not only wrong answers in chats, you know.
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It's really reinforced illusions.
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So let's be clear, there is a lot of work that bots can do.
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Bots can respond fast, bots can reduce effort,
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bots can make journeys smoother,
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less friction, but there is a different kind of work that they not cannot do, moral labor.
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Moral labor is showing up when someone's in pain,
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it's an eight-night call, it's apologizing with sincerity, it's staying with discomfort.
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And bots can support everything about it,
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but cannot carry it for us.
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And bots can reduce effort,
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only humans can carry responsibility.
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So to sum up, AI can read emotional patterns better and better.
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It can produce a language of empathy in massive scale,
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but empathy is not only in how we sound.
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Empathy is what we're willing to carry.
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AI can read the script of your life,
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but only you can choose how can you care about this story.
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The future does not depend on smarter systems,
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depends on who remains responsible for the pain.
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And sometimes people ask me about,
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oh, can you make a perfect journey in my website or in my app,
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or can you build an empathy app and the perfect question to reduce my questions,
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my calls and everything related to do this?
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And I always answer about this because we already have it,
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because you are the real empathy app,
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because you understand that people connect people,
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and technology is not a means.
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It's literally the middle of the journey.
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It's not the end of the journey.
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So, say yes, I believe in AI.
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I build and work with AI,
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including this presentation, and I believe it can help remove friction to make access more human friendly.
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We can automate responses, but we cannot automate responsibility.
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AI can read emotions, but only humans can choose empathy.
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Thank you.

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Why practice speaking with this video?

Engaging with the TEDx talk by Fabiano Cruz offers an excellent opportunity to learn English with YouTube. The focus on emotional intelligence and artificial intelligence provides a rich context for practicing speaking. The speaker uses a variety of tones and expressions that can help you adopt different speaking styles. By shadowing his dialogue, you will not only improve your pronunciation but also gain insights into conveying empathy through voice and emotion. This practice aligns perfectly with the shadow speech technique, where mimicking the speaker enhances fluency and comprehension.

Grammar & Expressions in Context

Throughout the video, several key grammatical structures and expressions stand out:

  • Conditional Sentences: Phrases like "If AI can read emotions, then humans can choose empathy" exemplify the use of conditional sentences, a crucial structure for expressing possibilities.
  • Passive Voice: The speaker mentions, "AI responses were rated as more empathic," employing passive constructions to emphasize the action rather than the subject.
  • Direct Questions: The conversational style is highlighted through direct questions as seen in "What was your favorite band growing up?" This structure encourages engagement.
  • Imperatives: Instructions like "try making you a voice" showcase how imperatives can be used to give directions clearly and effectively.

Understanding and utilizing these structures will enhance your English proficiency and prepare you for real-life conversations.

Common Pronunciation Traps

As you practice shadowing the speaker, pay attention to the following pronunciation challenges:

  • Empathic vs. Empathic: These terms may sound similar, but distinguishing between them is important. The speaker highlights the subtleties involved in sounding caring versus being caring.
  • Words with Multiple Syllables: Terms such as "responses" and "artificial" can often trip up learners. Focus on breaking them into syllables: re-spon-ses and ar-ti-fi-cial to make pronunciation easier.
  • Accent Variation: The speaker's British accent provides an excellent opportunity to hear a different English dialect. Listening closely can help you adjust to various accents, which is particularly valuable if you plan to engage with speakers from different regions.

By focusing on these aspects, you will improve not only your speaking abilities but also your overall comprehension of English in social contexts. Incorporating the shadow speak method will allow for continuous improvement as you interact with rich audio-visual content.

What is the Shadowing Technique?

Shadowing is a science-backed language learning technique originally developed for professional interpreter training and popularized by polyglot Dr. Alexander Arguelles. The method is simple but powerful: you listen to native English audio and immediately repeat it out loud — like a shadow following the speaker with just a 1–2 second delay. Unlike passive listening or grammar drills, shadowing forces your brain and mouth muscles to simultaneously process and reproduce real speech patterns. Research shows it significantly improves pronunciation accuracy, intonation, rhythm, connected speech, listening comprehension, and speaking fluency — making it one of the most effective methods for IELTS Speaking preparation and real-world English communication.

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