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

Developing applications with the Google speech recognition API


The components of the Google speech API (package android.speech) are documented at http://developer.android.com/reference/android/speech/package-summary.html. Interfaces and classes are listed here and further details can be obtained by clicking on them.

There are two ways in which speech recognition can be carried out on an Android device: based solely on a RecognizerIntent approach, or by creating an instance of SpeechRecognizer. The former provides an easy-to-program mechanism with which it is possible to create apps that use speech recognition by starting the Intent class and processing its results. The apps following this scheme will present a dialog providing feedback to the user on whether the ASR is ready, or about different errors during the recognition process. Using SpeechRecognizer provides developers with different notifications of recognition-related events, thus allowing a more fine-grained processing of the speech...