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

The GrammarTest app


The GrammarTest app (sandra.examples.nlu.grammartest) illustrates how to use NLULib. It has a simple GUI in which the user selects the type of grammar to be used (hand-crafted or statistical), and can also select the Check text or Check ASR button to obtain a semantic representation of the input.

In the case of Check text, the input is typed into a TextView box using the keyboard. In the case of Check ASR, the app recognizes an oral input and produces the result for a 10-best list.

In the case of handcrafted grammar, an XML grammar is read from the specified location. The default grammar used is the one presented previously. If the input (either the input text or each of the N-best results) is in the grammar, it shows a valid message and the semantic representation, if not, it shows an invalid message (these messages are not hard-coded, but retrieved from the Strings file).

In the case of statistical grammar, the Maluuba service is used. In this case, we do not pose any...