Book Image

Voice Application Development for Android

Book Image

Voice Application Development for Android

Overview of this book

Speech technology has been around for some time now. However, it has only more recently captured the imagination of the general public with the advent of personal assistants on mobile devices that you can talk to in your own language. The potential of voice apps is huge as a novel and natural way to use mobile devices. Voice Application Development for Android is a practical, hands-on guide that provides you with a series of clear, step-by-step examples which will help you to build on the basic technologies and create more advanced and more engaging applications. With this book, you will learn how to create useful voice apps that you can deploy on your own Android device in no time at all. This book introduces you to the technologies behind voice application development in a clear and intuitive way. You will learn how to use open source software to develop apps that talk and that recognize your speech. Building on this, you will progress to developing more complex apps that can perform useful tasks, and you will learn how to develop a simple voice-based personal assistant that you can customize to suit your own needs. For more interesting information about the book, visit http://lsi.ugr.es/zoraida/androidspeechbook
Table of Contents (19 chapters)
Voice Application Development for Android
Credits
Foreword
About the Authors
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
Afterword
Index

VoiceSearch app


This app illustrates the following:

  1. When clicking on the Press the button to speak option, the user is prompted to say some words.

  2. The user speaks some words.

  3. VoiceSearch initiates a search query based on the words spoken by the user.

The opening screen has a button asking the user to press and speak. On pressing the button, the next screen displays the Google speech prompt What is your query? The results are displayed in a browser window.

In this case, the app uses the two libraries developed previously: TTSLib (see Chapter 2, Text-to-Speech Synthesis) and ASRLib (see Chapter 3, Speech Recognition). Their jar files are included in the libs folder of the VoiceSearch project. The ASR methods are used to recognize the user input and use it as the search criterion. The TTS is employed to provide spoken feedback to the user about the status of the app.

This app combines the code that was already presented for the TTSWithLib (Chapter 2, Text-to-Speech Synthesis) and the ASRWithLib ...