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

Summary


This chapter has shown how to use the Google speech API to implement speech recognition services, having checked that they are available on the device. The user is prompted to say some words and the results of the recognition, the recognized strings and their confidence scores, are displayed on the screen. The user can choose the language model for recognition and the maximum number of results to be retrieved. This functionality has been implemented following two different approaches in the ASRWithIntent and ASRWithLib apps.

The ASRWithIntent app is a basic easy-to-develop example in which all the code is contained in the same class. ASR is carried out using a RecognizerIntent class and there is an automatically generated dialog that provides feedback on whether the engine is listening or if there was any error.

The ASRWithLib app shows how to modularize and create a library for speech recognition that can be used in many apps. Instead of relying on the RecognizerIntent class only...