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)

Enhancing a MusicProvider

In the previous chapter, static media content was used. In this section, you will be creating a Node.js server that returns the media contents. In the real world, you would want the media contents to be sent from the backend server so that you can save and manage the media information in the database. You will not be learning about storing and retrieving media from the database in this chapter, but you can refer to the technique used in Chapter 4, Hosting, Securing, and Testing Fortune Cookie in Cloud, where the data is saved and retrieved from CosmoDB. Finally, the podcast music files and the cover image are saved to the Microsoft Azure blob storage.

The following shows the media content dataflow:

Media content dataflow

Creating a Node.js backend server