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LinkedIn Learning

Microsoft Cognitive Services for Developers: 2 Speech

via LinkedIn Learning

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Overview

Learn how to use Microsoft Cognitive Services to embed AI in your applications. This course covers the speech APIs for text translation, text to speech, and speaker recognition.

Syllabus

Introduction
  • Welcome
  • What you should know
  • How to use the exercise files
1. The Basics
  • Introduction
  • Set up a Node.js project
  • Add TypeScript debugging support
  • Add helper code and debugging
2. Translation Text API
  • Set up a project
  • Set up Translate Text API in Azure and update a project
  • Write code for getting supported languages
  • Get supported languages running and refactor the code
  • Get supported languages using an access token
  • Get supported languages using access token
  • Get language names
  • Write code for translating between langauges
  • Translations between multiple languages
  • Break apart longer sentences
  • Translate lots of content using TranslateArray
  • Get languages for Speak
  • Performing Text-to-Speech
3. Bing Speech API
  • Set up a project and register Bing Speech in Azure
  • Speech to Text
  • Get an access token for Text-to-Speech
  • Bing Speech Text-to-Speech
4. Speaker Recognition API
  • The theory behind speaker recognition
  • Register speaker recognition API in Azure and update the project
  • Write business objects
  • Craft up the structure of identification helper class
  • Write code to create and delete identification profiles
  • Write code for enrollment
  • Write code for speaker identification
  • Enrolling the first user
  • Enrolling the second user
  • Identifying speakers
  • Delete identification profiles
Conclusion
  • Next steps

Taught by

Sahil Malik

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