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 a more advanced Virtual Personal Assistant


The system output, which uses TTS as presented in Chapter 2, Text-to-speech synthesis could be enhanced by including the use of different voices, languages, and modalities, for example, to present information that is less suitable for spoken output.

The user input techniques for speech recognition that were introduced in Chapter 3, Speech Recognition could be developed in various ways:

  • By including the similarity measures introduced in Chapter 4, Simple Voice Interactions to compare the recognized results with similar words that might have been what the user actually said

  • By making use of other techniques for enhancing the recognition results, such as stemming, as described in Chapter 17 of the book Professional Android Sensor Programming by Greg Milette and Adam Stroud

  • By incorporating confidence measures to support decisions on whether to use confirmations, as described in Chapter 4, Simple Voice Interactions

  • By making use of the n-best...