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Learning Microsoft Cognitive Services

You're reading from   Learning Microsoft Cognitive Services Leverage Machine Learning APIs to build smart applications

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781788623025
Length 368 pages
Edition 2nd Edition
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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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Table of Contents (13) 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. Extending Knowledge Based on Context 8. Querying Structured Data in a Natural Way 9. Adding Specialized Searches 10. Connecting the Pieces 11. LUIS Entities and Additional Information on Linguistic Analysis 12. License Information

Converting text to audio and vice versa


In Chapter 1, Getting Started with Microsoft Cognitive Services, we utilized a part of the Bing Speech API. We gave the example application the ability to speak sentences to us. We will use the code created in that example now, but we will dive a bit deeper into the details.

We will also go through the other feature of Bing Speech API, converting spoken audio to text. The idea is that we can speak to the Smart-House application, which will recognize what we are saying. Using the textual output, it will use LUIS to get the intent of our sentence. In case LUIS needs more information, the application will politely ask us with audio.

To get started, we want to modify the build definition of the Smart-House application. We need to specify whether we are running it on a 32-bit or a 64-bit OS. To utilize speech-to-text conversion, we want to install the Bing Speech NuGet client package. Search for Microsoft.ProjectOxford.SpeechRecognition, and install either...

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