**6.1 High quality learning data**

In the real world, the problem of people's time, labor, and cost is easily replaced by using artificial intelligence in Metaverse. In the real world, when delivering news, you have to go through a lot of work, such as recruiting an announcer, shooting in a studio, and editing video. However, in the virtual space, by utilizing an artificial intelligence announcer, it is possible to deliver urgent and important news quickly and continuously for a long time. In order to deliver news in the Metaverse, it is necessary to learn the facial expressions, muscle movements, voices, nuances, and gestures of real announcers. When learning by receiving a long-time news video from a broadcaster to make an artificial intelligence announcer video, we extract only the part where the voice of another reporter and noise-free data, and the announcer's face and voice come out clearly toward the camera, and only detect a specific person techniques must be applied. If you use blockchain meta-information when searching for various data like this, you can select only the pure data necessary for learning and induce high-quality learning. Metadata stored within the blockchain block makes the necessary high-quality data selectively available. It is created as reliable data in the Metaverse, which increases the number of users who use the Metaverse.
