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.
Table of Contents (12 chapters)

Summary

In this chapter, you learned how to create an Alexa skill called Henry's Kitchen, which takes food types from the user and recommends cooking ideas. In order to get those cooking ideas, you created a Node.js endpoint web service that queries the Spoonacular third-party REST API to get cooking recipes. During the voice application development process, you have mastered intents, slots, and utterances using the Alexa console. Also using Node.js, you have learned how to create a web service that can take requests from Alexa and respond to Alexa. Then, you went through the process of debugging the web service endpoint using the Alexa JSON input locally. You managed to deploy the web service endpoint to the Microsoft Azure cloud in order to test using an Amazon Echo device. Finally, you managed to back up the entire Alexa skill you created so that you can restore it, if...