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Artificial Intelligence for IoT Cookbook

You're reading from   Artificial Intelligence for IoT Cookbook Over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781838981983
Length 260 pages
Edition 1st Edition
Languages
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Author (1):
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Michael Roshak Michael Roshak
Author Profile Icon Michael Roshak
Michael Roshak
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Table of Contents (11) Chapters Close

Preface 1. Setting Up the IoT and AI Environment 2. Handling Data FREE CHAPTER 3. Machine Learning for IoT 4. Deep Learning for Predictive Maintenance 5. Anomaly Detection 6. Computer Vision 7. NLP and Bots for Self-Ordering Kiosks 8. Optimizing with Microcontrollers and Pipelines 9. Deploying to the Edge 10. About Packt

Wake word detection

Wake word detection is used to make sure that your voice-activated system does not behave in unexpected ways. Achieving high accuracy rates for audio is challenging. Background noises interfere with the main vocal commands. One way to achieve higher accuracy is to use an array microphone. Array microphones are used for background noise canceling. In this recipe, we are using the ROOBO array microphone and the Microsoft Speech Devices SDK. The ROOBO array microphone is ideal for voice kiosks because its form factor allows it to be put flat on a kiosk face.

The ROOBO has an Android-based compute module attached to it. Android is a very common platform for kiosks because it is inexpensive and has a touch-first interface. For this recipe, we will be using the Android version of the Microsoft Speech Devices SDK. The Speech Devices SDK is different from the Speech SDK. The Speech Devices SDK will work with both array and circular microphones, while the Speech SDK...

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