I guess it would require a lot of engineering to get people to label so much data.

我想，要让人们给这么多数据贴上标签，需要大量的工程技术。

This will help extend those models to work for languages where there isn't any labeled training data available to train the system.

这将有助于扩展这些模型，使其适用于没有任何标记训练数据可用于训练系统的语言。

Then, an algorithm goes in, and starts tweaking all those values to train the neural network, using labeled data for training and testing.

然后，一个算法进入，并开始调整所有这些值来训练神经网络，使用标记数据进行训练和测试。

These experts can recognize different moths, so they not only record the feature values, but also label that data with the actual moth species.

这些专家可以识别不同的蛾类， 因此他们不仅记录特征值，还用实际的蛾类标记该数据。

This means that we don't need to label this data, or in other words, we don't need to specify how each pixel sounds, it learns to infer all this information from the video and sound signals by itself.

这意味着我们不需要标记这些数据，换句话说，我们不必指定每个像素的声音，它学会了自己从视频和声音信号中推断所有信息。