YouTube Begins Rolling out Shorts Player for Smart TVs
The larger screen makes watching them with others more comfortable. On the other hand, if somebody came along and had very peculiar and unusual ways of pronouncing things that was not well-covered in our data, we'd have more trouble recognizing them.K. That variation is one of the big challenges, one of a number of big challenges in the field that makes it more difficult. English, and we have model for "ah," and "uh," and "buh," and "tuh," and "mm," and "nn" and so on and so forth for all of the basic sounds of the language. There were linguists that were trying to build speech recognizers by explicitly programming up knowledge about the structure of language, and then there were engineers who came along and said, "Language is so complex, nobody understands it well enough, and there's just too much there to ever be able to explicitly program it, so instead, we'll build these big statistical models, feed them data, and the let them learn." For a while, the engineers were winning, but nobody was doing a great job.
And so the question becomes what kind of model should we start with that we can then feed this data to so we can get good performance out of a speech recognizer? Finally, the statisticians or engineers took that to heart and built models that are context dependent so that they can learn and add a separate model for "ah" as it occurs following an "mm" versus a "duh," and so on and so forth. The "aa" in the word "math," versus "aa" in the word "tap." They produce something differently, and they sound a bit differently, and so we actually need different models for the "aa" sound, whether it's following an M versus following a T. The production of those fundamental sounds or phonemes varies depending on their context. He understands it on a basic level of sound combinations and contextual clues. How does speech recognition technology work on a basic level? The “simple” prototype has sidebars and basic Shorts functionality. In its final design phase, the firm built two high-fidelity prototypes of a customized Shorts video player that integrated feedback from their latest research. After another round of research, Google found that the consistent video player (Option A) lost the joy of Shorts, and the Jukebox style (Option C) went too far from Shorts’ one-video-at-a-time format. This was generated by GSA Content G enerator DEMO.
Videos on the Shorts shelf on your YouTube homepage or a creator’s channel page will play in the Shorts player. We started with the basics of speech recognition technology, as you'll see on the next page. Could we see Google develop a universal translator akin to something you'd see on Star Trek? Google has also detailed the design process for bringing Shorts to this new platform. As YouTube continues to make it easier to interact on TV, the richness of the Shorts experience will only grow. They were balancing a pure viewing experience with Shorts and YouTube features like comments, community actions (like, subscribe), and related videos. The update begins to roll out today, letting users watch Shorts on their TV, streaming device, or gaming console that are made in 2019 or later. In a hidden Markov model there are certain assumptions about the data that comes in, some of which are not that accurate.
What is a hidden Markov model and how does it play into speech recognition? Teaching a computer to recognize speech is tricky. Google's Manager of Speech Technologies Mike Cohen understands speech on a level most of us don't think about. Google stated that to bring this new video format to the big screen, product managers, engineers, designers, and researchers from the Shorts and TV teams met to explore how to do it. Starting today, you can watch YouTube Shorts on TVs. Earlier, YouTube got separate tabs for videos, shorts, and live videos. In addition to watching Shorts in these new places, users can interact with them by liking or disliking videos, subscribing to creators’ channels after watching their Shorts, and reading Shorts titles and descriptions as you would on mobile devices or PCs. The tailored Shorts experience maximizes large screen space with a clean design. The color-sampled background modernized the experience and made greater use of the TV screen’s space. The Shorts experience on TV had to match the community’s mobile experience and seem natural. Bringing Shorts to TV is a great bridge to bring two of our most important experiences together to benefit both creators and viewers. The “love letters” demonstrated that viewers enjoyed watching their favourite content alongside friends and family in a community.
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