Neural networks, we use them for speech recognition.

神经网络，我们将它们用于语音识别。

Speech recognition, for example, is a form of machine learning, in that it gets better every single time it is used.

比如，语音识别就是机器学习的一种形式，因为它每次被使用都会变得更好。

With far-field speech recognition, you will be able to use it from a distance, from a room to another.

有了远程语音识别，你将能从远处使用它，从这里到另一房间。

For example, Bernie Meyerson says an advanced speech recognition system will tell new parents why their baby is crying.

比如，伯尼·梅尔森说，一种先进的语音系统将告诉新生儿父母婴儿哭啼的原因。

Speech recognition software knows what all these phonemes look like.

语音识别软件知道所有这些音素的样子。

Ooh, you can do speech recognition!

哦，你可以做语音识别！

Or you can also do it without speech recognition.

或者您也可以在没有语音识别的情况下进行。

Oh, with speech recognition, I want to try that out.

哦，有了语音识别，我想试试看。

This is very much like speech recognition, but in reverse.

这很像语音识别，但恰恰相反。

So visual perception, speech recognition, language translation, recognizing a face.

所以视觉感知、语音识别、语言翻译、人脸识别。

Other recent acquisitions include a fitness tracking company, speech recognition and an e-commerce company.

最近的其他收购包括一家健身追踪公司、语音识别公司和一家电子商务公司。

But we saw the potential to really change things like video indexing, machine translation, speech recognition.

但我们看到了真正改变视频索引、机器翻译、语音识别等事物的潜力。

Pretty much every streaming service has standardized them and speech recognition technology has made them accessible in pretty much every YouTube video and TikTok.

几乎每个流媒体服务都对它们进行了标准化，语音识别技术使它们几乎可以在每个 YouTube 视频和 TikTok 中使用。

That’s the domain of speech recognition, which has been the focus of research for many decades.

这就是语音识别领域，几十年来一直是研究的重点。

Bell Labs debuted the first speech recognition system in 1952, nicknamed Audrey – the automatic digit recognizer.

贝尔实验室于 1952 年推出了第一个语音识别系统，绰号奥黛丽——自动数字识别器。

It including the research in the field of robotics, speech recognition, image recognition, Natural language processing and expert systems.

它包括机器人技术、语音识别、图像识别、自然语言处理和专家系统领域的研究。

Fortunately, thanks to huge advances in computing performance in the 1980s and 90s, continuous, real-time speech recognition became practical.

幸运的是，由于 1980 年代和 90 年代计算性能的巨大进步，连续、实时的语音识别变得实用。

Fingerprint technology and advanced speech recognition will ensure that only one or two authorized users will be able to operate it.

指纹技术和高级语音识别将确保只有一两个授权用户能够操作它。

" (Machine learning) has proven useful for some things like speech recognition, but it's not actually the answer to AI. We haven't really solved the intelligence problem."

“(机器学习)已经被证明在语音识别等方面很有用，但它实际上不是人工智能的解决方案。我们还没有真正解决智能问题。”

These artificial neural networks can use millions of connections to tackle difficult tasks like image recognition, speech recognition, and even language translation.

这些人工神经网络可以使用数百万个连接来处理图像识别、语音识别甚至语言翻译等困难任务。