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Learning Microsoft Cognitive Services

You're reading from   Learning Microsoft Cognitive Services Use Cognitive Services APIs to add AI capabilities to your applications

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789800616
Length 312 pages
Edition 3rd Edition
Languages
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Author (1):
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Leif Larsen Henning Larsen Leif Larsen Henning Larsen
Author Profile Icon Leif Larsen Henning Larsen
Leif Larsen Henning Larsen
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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started with Microsoft Cognitive Services 2. Analyzing Images to Recognize a Face FREE CHAPTER 3. Analyzing Videos 4. Letting Applications Understand Commands 5. Speaking with Your Application 6. Understanding Text 7. Building Recommendation Systems for Businesses 8. Querying Structured Data in a Natural Way 9. Adding Specialized Searches 10. Connecting the Pieces A. LUIS Entities B. License Information Index

Knowing who is speaking

Using the Speaker Recognition API, we can identify who is speaking. By defining one or more speaker profiles with corresponding samples, we can identify whether any of them are speaking at any time.

To be able to utilize this feature, we need to go through a few steps:

  1. We need to add one or more speaker profiles to the service.
  2. Each speaker profile enrolls several spoken samples.
  3. We call the service to identify a speaker based on audio input.

If you have not already done so, sign up for an API key for the Speaker Recognition API at https://portal.azure.com.

Start by adding a new NuGet package to your smart-house application. Search for and add Microsoft.ProjectOxford.SpeakerRecognition.

Add a new class called SpeakerIdentification to the Model folder of your project. This class will hold all of the functionality related to speaker identification.

Beneath the class, we will add another class, containing EventArgs for status updates:

    public class SpeakerIdentificationStatusUpdateEventArgs...
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