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 use a built-in Node.js server, and Cloud Functions for Firebase provided by Dialogflow to handle fulfillments through webhooks. In the Firebase Node.js server, a user intent request is intercepted and then a response object is created. You learned how to trigger an intent using an event in the code and also built a follow-up intent to create a conversation. Then, you built more advanced response objects using selectList, SSML, and audio. Finally, you learned about the data metrics collected by Dialogflow in the agent analytics section. In the next chapter, you will learn how to deploy the Node.js middle tier to the Microsoft Azure cloud, thereby taking full control of your infrastructure environment.