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 technology of speech recognition


The following are the two main stages in speech recognition:

  • Signal processing: This stage involves capturing the words spoken into a microphone and using an analogue-to-digital converter (ADC) to translate it into digital data that can be processed by the computer. The ADC processes the digital data to remove noise and perform other processes such as echo cancellation in order to be able to extract those features that are relevant for speech recognition.

  • Speech recognition: The signal is split into minute segments that are matched against the phonemes of the language to be recognized. Phonemes are the smallest unit of speech, roughly equivalent to the letters of the alphabet. For example, the phonemes in the word cat are /k/, /æ/, and /t/. In English, for example, there are around 40 phonemes, depending on which variety of English is being spoken.

The most successful approach to speech recognition has been to model speech statistically so that the outcome...