When you edit documents in various formats every day, the universality of your document tools matters a lot. If your tools work for only some of the popular formats, you might find yourself switching between application windows to correct text in UOF and manage other file formats. If you wish to get rid of the hassle of document editing, get a platform that will effortlessly manage any format.
With DocHub, you do not need to concentrate on anything but actual document editing. You won’t have to juggle programs to work with various formats. It can help you edit your UOF as effortlessly as any other format. Create UOF documents, modify, and share them in a single online editing platform that saves you time and improves your productivity. All you have to do is sign up a free account at DocHub, which takes just a few minutes.
You won’t have to become an editing multitasker with DocHub. Its feature set is sufficient for speedy document editing, regardless of the format you want to revise. Start by registering a free account and discover how easy document management might be with a tool designed particularly to suit your needs.
CALUM BARNES: Hi, my name's Calum Barnes from Google Cloud. I'm the Product Manager for Cloud Speech, and today, I'm going to be talking about measuring and improving speech-to-text accuracy with the Google Cloud speech product. First, I'm going to give you a little bit of an overview on Cloud Speech-to-Text. Then I'm going to talk about how you can measure the accuracy of speech to text on your own data then what you can do using our tools to improve that accuracy once you've measured it. And finally, I will do a quick worked example at the end and link you out to some of the companion tools and examples that we've created to go with this next on-air presentation. So Google Cloud Speech-to-Text is a API which accepts audio. It identifies speech within that audio and returns the text representation of that speech. This happens in real time or in batch mode. We support both in all 71 languages and 127 local variants that we support. We also have, for each one of these languages, a mass...