Book Image

Voice User Interface Projects

By : Henry Lee
Book Image

Voice User Interface Projects

By: Henry Lee

Overview of this book

From touchscreen and mouse-click, we are moving to voice- and conversation-based user interfaces. By adopting Voice User Interfaces (VUIs), you can create a more compelling and engaging experience for your users. Voice User Interface Projects teaches you how to develop voice-enabled applications for desktop, mobile, and Internet of Things (IoT) devices. This book explains in detail VUI and its importance, basic design principles of VUI, fundamentals of conversation, and the different voice-enabled applications available in the market. You will learn how to build your first voice-enabled application by utilizing DialogFlow and Alexa’s natural language processing (NLP) platform. Once you are comfortable with building voice-enabled applications, you will understand how to dynamically process and respond to the questions by using NodeJS server deployed to the cloud. You will then move on to securing NodeJS RESTful API for DialogFlow and Alexa webhooks, creating unit tests and building voice-enabled podcasts for cars. Last but not the least you will discover advanced topics such as handling sessions, creating custom intents, and extending built-in intents in order to build conversational VUIs that will help engage the users. By the end of the book, you will have grasped a thorough knowledge of how to design and develop interactive VUIs.

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Table of Contents (12 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Introduction
Introduction
Technological advancement of VUIs
Basic design fundamentals of VUIs
Voice-enabled applications
Future of VUIs
Summary
2
Building an FAQs Chatbot
Building an FAQs Chatbot
Why an FAQs chatbot?
Introduction to Dialogflow
About an FAQs chatbot
What is Google Assistant?
Machine learning in Dialogflow
Summary
3
Building a Fortune Cookie Application
Building a Fortune Cookie Application
About the Fortune Cookie project
About webhook
Working with logs
Building Fortune Cookie VUIs
SSML and audio integration
Using Analytics
Summary
4
Hosting, Securing, and Testing Fortune Cookie in the Cloud
Hosting, Securing, and Testing Fortune Cookie in the Cloud
What is the Microsoft Azure cloud platform?
Deploying a Fortune Cookie webhook to Microsoft Azure
Securing the Node.js webhook for Dialogflow
Storing Quotes in Cosmos DB
Managing the Microsoft Azure Node.js service
Managing Cosmos DB
Creating end-to-end tests using the Dialogflow client SDK
Summary
5
Deploying the Fortune Cookie App for Google Home
Deploying the Fortune Cookie App for Google Home
Setting up Google Home for the first time
Learning about Google Home's features
Deploying Fortune Cookie to Google Home
Certifying an application for the marketplace
Summary
6
Building a Cooking Application Using Alexa
Building a Cooking Application Using Alexa
Introducing the ASK
Building a Henry's Kitchen Alexa skill
Creating a web service endpoint to handle skill requests
Deploying and debugging the web service endpoint
Working with Amazon Echo
Backing up the Alexa skill
Summary
7
Using Advanced Alexa Features for the Cooking App
Using Advanced Alexa Features for the Cooking App
Logging application events and data
About dialog interfaces
Working with built-in Intents
About dialog states
Submitting cooking app to Amazon marketplace
Summary
8
Migrating the Alexa Cooking Application to Google Home
Migrating the Alexa Cooking Application to Google Home
Comparing an Alexa Skills Kit and Dialogflow agent
Converting the Henry's Kitchen Alexa Skill to Dialogflow
Creating a webhook to handle Dialogflow
Summary
9
Building a Voice-Enabled Podcast for the Car
Building a Voice-Enabled Podcast for the Car
Learning about Xamarin
Setting up the development environment
Creating a new Xamarin project
Setting up the Xamarin project for Android Auto
Testing Using Android Phone
Summary
10
Hosting and Enhancing the Android Auto Podcast
Hosting and Enhancing the Android Auto Podcast
Enhancing a MusicProvider
Testing Android Auto using the Desktop-Header unit
Testing the Podcast's Application in the Car
Basic Voice Commands
Certifying Android Auto
Summary
11
Other Books You May Enjoy
Other Books You May Enjoy
Leave a review - let other readers know what you think

Setting up the Xamarin project for Android Auto

Continuing from the previous section, you will be configuring the Xamarin project for Android Auto:

  1. Open Visual Studio 2017.
  2. Go to the project through File | Open | Project / Solution, go to the MyPodCast directory, and choose the MyPodCast.sln file.
  3. Go to Tools | Android | Android SDK Manager.
  4. In the Platforms tab, go to Android 5.0 Lollipop and select Android SDK Platform 21.
  5. In Tools | Extras | Android Auto API Simulators and Android Auto Desktop Head Unit (DHU) emulator are selected.
  1. Click Apply Changes.

The following screenshot shows the Android SDK manager for installing DHU:

Installing DHU
  1. Download and unzip (https://bit.ly/2JF8jMq) the file to the MyPodCast\Resources directory. The downloaded file contains all the images and icons you will need to build the MyPodCast application.
  2. Go back to the Visual Studio MyPodCast...
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