How Do We Get 4% Down?

We're trying to go into more what's called semi-supervised learning. And the deep neural networks can actually just get smarter over time and learn from audio files that do not actually have been annotated. So there's many different research efforts underway to get that down. Some of it is pure research. How can we just make the models faster, better, more efficient? For example, with assistant voice typing we talked about. What are your most common contacts? Are there ways to bias to those words?Are there ways to personalize your model to understand certain words better? Going back to the noise in the background. Are there more effective ways to hone in on your voice and your