Jason P. Rhode - Cirrus Logic, Inc.
Management
Sure, yeah. So, the goal of our voice biometrics, just to be clear, is kind of neither of those things. I think coupled with a number of our other technologies, we can help make either natural language processing or command-type structures work better, if the device has certainty that the user is authorized, I think, in a way that can be transparent to the user, we can make any of it. I think we have the opportunity to make those thing work better. But just to be clear, what we're trying to do is identify the user, not what they said. So, for example, if somebody was to put our chip in a handset, you go through an enrollment process where you'd maybe say some – say a paragraph with some particular phonetics and other things, but using free speech meaning without necessarily having a fixed phrase, so you could use it with any sort of natural language backend, that the user could simply say, okay, Google phrase or whatever the unlock phrase happens to be, device wakes up, begins validating that you're authorized, and then go on to say something like, hey, read my email that I just – I heard the tone. I got my email. Hey, read my email. That's an application that's very, very simple, but I think most of us are really fixated on making sure whoever said, hey, read my e-mail is actually me. If I lose my phone in a bar and somebody says read my email, that's a problem. And I don't even know how many forms we have to fill out with the SEC if that happens, but it's probably not good. So, we're not trying to figure out what the user said at all. And in fact, it's kind of the Holy Grail of voice biometrics to be able to validate the enrolled user without any knowledge of what it was they were saying, just knowing that the person is actually who was enrolled in the device. And it's one of the most kind of fantastic things we've ever worked on. It's tremendously hard. It's certainly the case that people have done this and worked on these kind of applications before. Some of the call center type providers, service providers have this capability. It runs on servers. It uses racks of servers with stupendous amount of memory. And what we're doing is trying to take that down and render it into an embedded secure type form factor. And we're very excited about the opportunities there. As I said, it's there's meaningful research left. On a lot of position, it is a slam dunk, but it is something that is very, very exciting, something we can do a lot of different things with once we get that out.
Rajvindra S. Gill - Needham & Co. LLC: Fascinating. And then, just on the active noise cancellation roadmap, maybe you can talk a little bit about kind of where we are in terms of the roadmap as we get to the second half of this year and going into the next year? The always-on listening chip that can differentiate between various noises without the need for any of these passive noise cancellations. What's been the feedback from the customers and when do we think we're going to start to really move on the ANC headsets?