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Learning AWS IoT

You're reading from   Learning AWS IoT Effectively manage connected devices on the AWS cloud using services such as AWS Greengrass, AWS button, predictive analytics and machine learning

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788396110
Length 278 pages
Edition 1st Edition
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Author (1):
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Agus Kurniawan Agus Kurniawan
Author Profile Icon Agus Kurniawan
Agus Kurniawan
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Table of Contents (10) Chapters Close

Preface 1. Getting Started with AWS IoT 2. Connecting IoT Devices to AWS IoT Platform FREE CHAPTER 3. Optimizing IoT Computing Using AWS Greengrass 4. Building Local AWS Lambda with AWS Greengrass 5. Expanding IoT Capabilities with AWS IoT Button 6. Visualizing AWS IoT Data 7. Building Predictive Analytics for AWS IoT 8. Securing AWS IoT 9. Other Books You May Enjoy

Making your sensor speak


Suppose that you have deployed sensors at various locations. Those sensors perform monitoring to detect a specific purpose. When a sensor finds a thing that its looking for, a sensor device will send an alert to a command center. Some people probably stand by on that location. When an alert comes, the system can make a sound through a speaker. 

Message-to-sound or text-to-speech is a field of speech technology that leverages machine learning. A system can convert text or message to human speech. In general, the scenario can be described in the following figure:

From the preceding figure, IoT device can perform sensing and send data to AWS. IoT device can send an alert message to AWS to inform to the command center. AWS can convert text message to sound message. Once a command center receives a sound message, it performs to generate sound through a speaker.

Amazon AWS provides a service that applies speech technology, named Amazon Polly. You will learn how to work with...

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