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Microsoft Cognitive Services for Developers: 2 Speech

via LinkedIn Learning

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Overview

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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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