on Thursday and began moving into the Great Lakes region, knocking out power to tens of thousands of people and creating hazardous travel conditions a day after pummeling Colorado. Heavy snow and strong winds hammered parts of the central U.S. Hear Aria's (English – Female) and Xiaoxiao’s (Chinese – Female) voices in the newscast style: With neural TTS voices in the newscast style, your users can enjoy listening to news or articles in a professional tone that reflects what you might hear on TV or radio newscasts. Introducing Newscast, Customer Service, and Digital Assistant styles These styles allow you to adjust voices to express different emotions to fit the context, like cheerfulness or empathy. In addition to our new voice styles optimized for specific scenarios, we are also releasing new emotion styles. Through transfer learning, the neural TTS model can learn different speaking styles from various speakers, enabling nuanced voices. With the new styles-newscast, customer service, and digital assistant-developers can tailor the voice of their apps and services to fit their brand or unique scenario.īuilt on a powerful base model, our neural TTS voices are very natural, reliable, and expressive. Today, we’re building upon our Neural Text to Speech (Neural TTS) capabilities in Azure Cognitive Services with new voice styles. Neural TTS enables fluid, natural-sounding speech that matches the patterns and intonation of human voices, helping developers bring their solutions to life. This app is also available to run or deploy with Docker.This post was co-authored by Liao, Dow , Yueying Liu, and Peter Pan. However, if you’d like to deploy it and have a safe (breakable!) way of working with the code directly from your browser, try remixing the app on Glitch instead and start extending the codebase straight away. You have the option of deploying the app to Heroku, or Azure via the buttons at the top of the Readme in the GitHub repository. We’ve made it easy for you to deploy, and immediately use your own instance of this application, in as little as one click. This app falls under our Nexmo Extend programme, where we create useful and reusable applications to help you get up and running using Nexmo with other great service providers like Microsoft Azure, Google Cloud and Amazon Web Services. Azure Speech performs recognition on the audio, and the phrases returned to the console. Put simply, you literally call the API and talk to it. This app uses their Speech-To-Text API to recognise audio being streamed in real time via a websocket from a phone call facilitated by a Nexmo Call Control Object. Microsoft’s Azure platform provides a great set of Cognitive Services via API that allows you to work with Speech, Vision, Language and more. How the App Works With Azure’s Speech Service If that has already sold you on it, and you’re eager to get going, you can check out more details in our nexmo-community Github repository. We’ve recently updated the code and deployment options for this connector, so it’s now even easier to deploy, modify or extend if this matches a problem you’ve found yourself trying to solve. If you’ve ever found yourself in need of something to help you receive inbound phone calls and automatically transcribe them in real time you’re in luck, because you can do that using our newly updated Nexmo-to-Azure Speech Service connector.
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