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

Multilinguality


In Chapter 2, Text-to-Speech Synthesis and Chapter 3, Speech Recognition, we have provided the groundwork to enable you to develop multilingual applications easily. With the TTSLib library (Chapter 2, Text-to-Speech Synthesis) you can specify the language used for speech synthesis. Now we only need to make some small improvements to the ASRLib (Chapter 3, Speech Recognition) to make it accept different languages for speech recognition (as it was set originally to the device's default). To do this, we have created the ASRMultilingualLib (in sandra.libs.asr.asrmultilinguallib) in the code bundle).

We cannot expect that all languages will be available in the user's implementation of voice recognition. Thus, before setting a language it is necessary to check whether it is one of the supported languages, and if not, to set the currently preferred language.

To do this, a RecognizerIntent.ACTION_GET_LANGUAGE_DETAILS ordered broadcast is sent that returns a Bundle from which the information...