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Intelligent Mobile Projects with TensorFlow

You're reading from   Intelligent Mobile Projects with TensorFlow Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788834544
Length 404 pages
Edition 1st Edition
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Author (1):
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Jeff Tang Jeff Tang
Author Profile Icon Jeff Tang
Jeff Tang
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with Mobile TensorFlow FREE CHAPTER 2. Classifying Images with Transfer Learning 3. Detecting Objects and Their Locations 4. Transforming Pictures with Amazing Art Styles 5. Understanding Simple Speech Commands 6. Describing Images in Natural Language 7. Recognizing Drawing with CNN and LSTM 8. Predicting Stock Price with RNN 9. Generating and Enhancing Images with GAN 10. Building an AlphaZero-like Mobile Game App 11. Using TensorFlow Lite and Core ML on Mobile 12. Developing TensorFlow Apps on Raspberry Pi 13. Other Books You May Enjoy

Understanding Simple Speech Commands

Voice services, such as Apple Siri, Amazon Alexa, Google Assistant, and Google Translate, have become more and more popular these days, as voice is the most natural and effective way for us to find information or accomplish tasks in certain scenarios. Many of those voice services are cloud-based because user speech can be pretty long and freeform, and automatic speech recognition (ASR) is very complicated and requires a lot of computing power. In fact, only in recent years has ASR in natural and noisy environments become feasible thanks to the breakthrough in deep learning.

But in some cases, it makes sense to be able to recognize simple speech commands offline on a device. For example, to control the movement of a Raspberry-Pi-driven robot, you don't need complicated voice commands, and not only is on-device ASR faster than a cloud-based...

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