节目 学英语,听播客 下一集
第 27 集

Hunyuan Hy ASR 3.0: When AI Understands Your Voice

腾讯混元 Hy ASR 3.0:当 AI 听懂你的声音
approximately 7 minutes B1
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Mike

Welcome back to "Learn English with Podcasts"! Sarah, here's a fun game - can you guess this sentence? "I need to prepare for the zhong kao."欢迎回到"Learn English with Podcasts"!Sarah,来玩个小游戏——你能猜出这句话吗?"我需要准备中考。"

Sarah

Wait, "zhong kao" - do you mean the middle school exam or the final exam of the term? They sound the same!等等,"zhongkao"——你是指中考,还是期末考?它们听起来一模一样!

Mike

Exactly! That's the puzzle. Even humans get confused with words that sound the same. Now imagine a machine trying to figure it out.没错!这就是难题。连人类都会被同音词搞糊涂。现在想象一台机器要弄清楚它在说什么。

Sarah

Machines had a really hard time with this. That's why voice assistants sometimes give you the wrong text.机器一直很难处理这种情况。所以语音助手有时会给你转写错的文字。

Mike

Not anymore. A company in China just released a new speech recognition model called Hy ASR 3.0. It understands the context - the meaning around the words.现在不一样了。中国一家公司刚刚发布了新语音识别模型,叫 Hy ASR 3.0。它能理解上下文——也就是词语周围的含义。

Sarah

So it's not just listening to sounds anymore? It's actually thinking about meaning?所以它不只是听声音了?而是真的在思考含义?

Mike

Right. The old way was simple: turn sound into words, one by one. The new way is smarter: first understand the situation, then write the correct words.对。老办法很简单:把声音转成文字,一个字一个字来。新办法更聪明:先理解情境,再写出正确的字。

Sarah

That sounds like magic. Can I test it with my worst habit - talking fast?听起来像魔法。我能拿我最坏的习惯来测试吗——说话很快?

Mike

Go ahead! It can handle fast speech, mixed Chinese and English, even rap-style sentences.请便!它能处理语速快、中英混说,甚至说唱风格的句子。

Sarah

Rap? Now I need to hear this. What else can it do?说唱?那我可得见识见识。它还能做什么?

Mike

Dialects. It supports about twenty different Chinese dialects, like Cantonese and Sichuanese. One test showed it makes few mistakes across all of them.方言。它支持大约二十种中国方言,比如粤语和四川话。一项测试显示它在所有方言上的错误率都很低。

Sarah

Twenty dialects? My grandma speaks a village dialect, and I can barely understand her myself!二十种方言?我奶奶说一种地方话,我自己都很难听懂她!

Mike

Haha, maybe it can translate for you. It's also great with professional words - financial terms, medical names, even gaming slang.哈哈,也许它能帮你翻译。它对专业词汇也很擅长——金融术语、医学名称,甚至是游戏里的黑话。

Sarah

Gaming slang? Like what? "Jungle blue start"? Wait, I don't even know what that means in English.游戏黑话?比如什么?"打野蓝开"?等等,这个我连英语都不知道怎么说。

Mike

That's the point! A normal machine would never get it. But Hy ASR knows the game context, so it writes it correctly.这就是重点!普通机器根本搞不定这个。但 Hy ASR 知道游戏语境,所以能正确写出来。

Sarah

So it's like an expert in every field. What about noisy places? My office sounds like a train station sometimes.所以它像个各个领域的专家。那吵闹的地方呢?我的办公室有时候听起来像火车站。

Mike

It's trained for that too - subways, KTV rooms, and even whispers in a library. Real life is noisy, so it learned to listen in real conditions.它也针对这些训练过——地铁、KTV,甚至图书馆里的悄悄话。现实生活很吵,所以它学会了在真实环境里听。

Sarah

How did they build something this good? It sounds impossible.他们怎么做出这么好的东西?听起来不可能。

Mike

Three parts. A huge amount of speech data, a strong language model underneath, and a lot of fine-tuning. The language model does the understanding; the audio part does the hearing.三个部分。海量的语音数据、底层强大的语言模型,还有大量精细调优。语言模型负责理解,音频部分负责听。

Sarah

Like two friends working together - one good at listening, one good at thinking?就像两个朋友合作——一个擅长听,一个擅长想?

Mike

Beautiful way to put it! And it's already in real products. You can try it in Yuanbao app or through cloud APIs.说得太好了!而且它已经用在真实产品里了。你可以在元宝 App 里试,或者通过云 API 使用。

Sarah

So next time my phone gets my words wrong, I can blame... nothing? It just works?所以下次手机听错我说的话,我连怪谁都不用?它直接就对了吗?

Mike

Almost. Here's your aha moment - the old speech recognition copied your words. The new one tries to understand you, like a friend who really listens.差不多。这是你的顿悟时刻——旧的语音识别只是在复述你的话。新模型试着理解你,像一个真正在听的朋友。

Sarah

I like that. Maybe one day it'll understand my sleepy morning mumbling too.我喜欢这个比喻。也许有一天,它连我早上迷迷糊糊的嘟囔也能听懂。

Mike

Give it time! For now, remember: it's not just hearing words anymore. It's understanding people. Thanks for joining us on "Learn English with Podcasts"!给它点时间!现在,请记住:它不再只是听见词语了,而是理解人。感谢收听本集"Learn English with Podcasts"!

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