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  5. Translating Language by Using the Azure Speech Service

Summary

Contents

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Translating Language with Azure Speech Service
1
Introduction
PREVIEW1m 25s
6
Summary
1m 7s
Start course
Overview
Difficulty
Advanced
Duration
48m
Students
30
Ratings
5/5
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Description

In this course, you’ll learn about the Azure Speech and Translator services. You’ll learn about the key features and what’s possible with each of these services. You’ll find out how these services can be used with SDKs, REST APIs, and the command-line interface. You’ll see demos of the Translator, Speech-to-text, and Text-to-speech services in action and understand how to use them.

Learning Objectives

  • Understand the main capabilities of the Azure Speech service
  • Learn available options for using the Azure Speech service
  • Translate text using the Translator service
  • Translate speech to text
  • Translate text to speech

Intended Audience

This course is intended for developers or software architects who want to learn more about the Azure Speech and Translator services.

Prerequisites

Intermediate knowledge of C# and coding techniques is required for this course. You’ll also need to be familiar with Azure concepts such as App Service and resources. An understanding of APIs is also required. We’ll be writing a little code and will be using Visual Studio Community Edition, so you’ll need a copy of that too.

Transcript

We've now reached the end of this course. In lecture one, we looked at an overview of the Azure Speech service. We looked at the key features in the Azure Speech service. We've also seen what you can do with the Azure Speech service. In lecture 2, we introduced the Translator service.

We looked at some of the key features that Translator service provides. We explored some of the use cases and seen a demo of the Translator service in action. In lecture three, we took a closer look at the speech to text service. We explored some of the key features. You learned about the use cases the speech to text service can be deployed in. You also saw a demo of speech to text in action.

In lecture four, we took a closer look at the text to speech service. We explored some of the key features the service provides. You also learned about the use cases that text to speech service can be deployed in. You saw a demo of text to speech in action. I hope you've enjoyed this course. If you have further questions or would just like to say hi, feel free to reach out to me on Twitter. I look forward to seeing what you build using the Azure Speech and Translator services.

 

About the Author

Jamie Maguire is a Software Architect, Developer, Microsoft MVP (AI), and lifelong tech enthusiast with over 20 years of professional experience.

Jamie is passionate about using AI technologies to help advance systems in a wide range of organizations. 

He has collaborated on many projects including working with Twitter, National Geographic, and the University of Michigan. Jamie is a keen contributor to the technology community and has gained global recognition for articles he has written and software he has built. 

He is a STEM Ambassador and Code Club volunteer, inspiring interest at grassroots level. Jamie shares his story and expertise at speaking events, on social media, and through podcast interviews. 

He has co-authored a book with 16 fellow MVPs demonstrating how Microsoft AI can be used in the real world and regularly publishes material to encourage and promote the use of AI and .NET technologies.