Voice user interface projects : build voice-enabled applications using Dialogflow for Google Home and Alexa Skills Kit for Amazon Echo / Henry Lee.

Format:

Book

Author/Creator:

Lee, Henry, author.

Language:

English

Subjects (All):

Google Apps.

Natural language processing (Computer science).

Application software--Development.

Application software.

Physical Description:

1 online resource (392 pages)

Edition:

1st edition

Place of Publication:

Birmingham, England : Packt, 2018.

System Details:

text file

Biography/History:

Lee Henry: Henry Lee has over 18 years of experience in software engineering. His passion for software engineering has led him to work at various start-ups. Currently, he works as the principal architect responsible for the R&D and the digital strategies. In his spare time, He loves to travel and snowboard, and enjoys discussing the latest technology trends over a cigar! Also, he authored three books at Apress on mobile development.

Summary:

Develop intelligent voice-empowered applications and Chatbots that not only understand voice commands but also respond to it Key Features Target multiple platforms by creating voice interactions for your applications Explore real-world examples of how to produce smart and practical virtual assistants Build a virtual assistant for cars using Android Auto in Xamarin Book Description 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. What you will learn Understand NLP platforms with machine learning Exploit best practices and user experiences in creating VUI Build voice-enabled chatbots Host, secure, and test in a cloud platform Create voice-enabled applications for personal digital assistant devices Develop a virtual assistant for cars Who this book is for Voice User Interface Projects is for you if you are a software engineer who wants to develop voice-enabled applications for your personal digital assistant devices such as Amazon Echo and Google Home, along with your car's virtual assistant systems. Some experience with JavaScript is required.

Contents:

Cover

Title Page

Copyright and Credits

Dedication

Packt Upsell

Contributors

Table of Contents

Preface

Chapter 1: Introduction

Technological advancement of VUIs

First-generation VUIs

Boom of VUIs

History of VUIs on mobile devices

History of VUIs for Google Home

History of VUIs in cars

Basic design fundamentals of VUIs

What are VUIs and why are they important?

Role of NLP in VUIs

VUI design platforms

Principles of conversation

Turn taking

Flow

Context

Verbal confirmation

Visual confirmation

Error handling

Session awareness

Providing help

Response time

Empathy

Voice-enabled applications

Home assistant devices

Automobile virtual assistant devices

Chatbots

Future of VUIs

Summary

Chapter 2: Building an FAQs Chatbot

Why an FAQs chatbot?

Introduction to Dialogflow

Setting up a Dialogflow account

Creating your first agent

About an FAQs chatbot

What are intents?

Creating your first intent

What are entities?

Using entities

Using JSON to create entities

About action

What is context?

Creating your first context

No context

Testing context and no context scenarios

What is Google Assistant?

Installing Google Assistant on iPhone and Android

Configuring Google Assistant on Android and iPhone

Deploying FaqChatBot to Google Assistant

Configuring FaqChatBot

Machine learning in Dialogflow

Machine learning classification threshold

Training data

Chapter 3: Building a Fortune Cookie Application

About the Fortune Cookie project

About webhook

Installing Visual Studio Code

Setting up an agent

Checking security and the service account

Enabling webhook

Deploying and testing webhook

Working with logs

Building Fortune Cookie VUIs

Building a Get Quote intent.

Handling the Get Quote intent from the Webhook

Building a Get Quote based on the user feelings

Building a Feeling entity

Building events to get Feeling-based quotes

Building a Custom Welcome intent

Building a get feeling custom follow-up intent

Writing code for a feeling custom follow-up intent

Building a Get Fortune Cookie by an author

Building an Author entity

About rich response

Creating a text response

Creating an image response

Creating quick replies

Creating a card response

Creating a listSelect response

Building a Get Authors intent

Building a listSelect response in code

Building a Get Author Quote intent

Building a Get Author Quote intent's webhook

SSML and audio integration

Integrating SSML and audio to Default Welcome intent

Testing the default welcome intent SSML and audio sound

Using Analytics

Chapter 4: Hosting, Securing, and Testing Fortune Cookie in the Cloud

What is the Microsoft Azure cloud platform?

Fortune Cookie architectural topology in Microsoft Azure

Deploying a Fortune Cookie webhook to Microsoft Azure

Updating Fortune Cookie's Node.js webhook code

Testing a webhook locally

Creating a web.config to run Node.js in Microsoft Azure

Creating Microsoft Azure App Service to host a Node.js webhook

Configuring Dialogflow webhook

Securing the Node.js webhook for Dialogflow

Storing Quotes in Cosmos DB

Creating Cosmos DB

Importing the Fortune Cookie quotes

Updating the Node.js webhook to use Cosmos DB

Installing a new component on Microsoft Node.js

Managing the Microsoft Azure Node.js service

Creating a backup of the service

Scaling up or scaling out

Managing Cosmos DB

Scaling out Cosmos DB

Geo-replicating Cosmos DB

Creating end-to-end tests using the Dialogflow client SDK.

Setting up the Dialogflow client SDK

Enabling the Dialogflow API for Fortune Cookie

Creating a test script using the Dialogflow client SDK

Chapter 5: Deploying the Fortune Cookie App for Google Home

Setting up Google Home for the first time

Learning about Google Home's features

Adding a home control device to Google Home

Deploying Fortune Cookie to Google Home

Certifying an application for the marketplace

Learning about general guidelines

Chapter 6: Building a Cooking Application Using Alexa

Introducing the ASK

Building a Henry's Kitchen Alexa skill

Setting up the ASK development environment

Creating an Alexa skill

Creating wake up words

Building slots

Building intents

Building utterances

Creating a web service endpoint to handle skill requests

Deploying and debugging the web service endpoint

Configuring and testing the endpoint in the Alexa console

Debugging the endpoint locally

Working with Amazon Echo

Setting up and testing in Amazon Echo

Viewing history in Amazon Echo

Backing up the Alexa skill

Chapter 7: Using Advanced Alexa Features for the Cooking App

Logging application events and data

Setting up an Azure Blob storage

Setting up application logging in the cooking application

About dialog interfaces

Building GetCookingIntent dialog models

Handling the GetCookingIntent dialog model in code

Deploying and testing the GetCookingIntent dialog model

Working with built-in Intents

About dialog states

Coding the state management

Submitting cooking app to Amazon marketplace

Chapter 8: Migrating the Alexa Cooking Application to Google Home

Comparing an Alexa Skills Kit and Dialogflow agent

Comparing an Alexa Skill to a Dialogflow agent

Comparing intent

Comparing slots to entities.

Converting the Henry's Kitchen Alexa Skill to Dialogflow

Creating the agent

Converting slots to entities

Converting Alexa intents to Dialogflow intents

Enabling a webhook

Creating a webhook to handle Dialogflow

What code is reused?

Setting up a Dialogflow router

Setting up a Dialogflow webhook entry point

Refactoring the BuildGetCookingInstruction function

Refactoring the GetOffset function

Deploying and testing Henry's Kitchen

Chapter 9: 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

Building Android Auto MyPodCast

Building MusicService

Implementing MusicService (Android MediaBrowserService)

Implementing MusicPlayer

Building MusicProvider

Building an Android Media Player UI

Testing Using Android Phone

Chapter 10: Hosting and Enhancing the Android Auto Podcast

Enhancing a MusicProvider

Creating a Node.js backend server

Creating and adding the podcasts to the Microsoft Azure blob storage

Refactoring the GetSource() method in MusicProvider

Testing Android Auto using the Desktop-Header unit

Testing the Podcast's Application in the Car

Basic Voice Commands

Certifying Android Auto

Other Books You May Enjoy

Index.

Notes:

Includes index.

Description based on print version record.

ISBN:

9781788470223

1788470222

OCLC:

1048776637