Book Image

Java for Data Science

By : Richard M. Reese, Jennifer L. Reese
Book Image

Java for Data Science

By: Richard M. Reese, Jennifer L. Reese

Overview of this book

para 1: Get the lowdown on Java and explore big data analytics with Java for Data Science. Packed with examples and data science principles, this book uncovers the techniques & Java tools supporting data science and machine learning. Para 2: The stability and power of Java combines with key data science concepts for effective exploration of data. By working with Java APIs and techniques, this data science book allows you to build applications and use analysis techniques centred on machine learning. Para 3: Java for Data Science gives you the understanding you need to examine the techniques and Java tools supporting big data analytics. These Java-based approaches allow you to tackle data mining and statistical analysis in detail. Deep learning and Java data mining are also featured, so you can explore and analyse data effectively, and build intelligent applications using machine learning. para 4: What?s Inside ? Understand data science principles with Java support ? Discover machine learning and deep learning essentials ? Explore data science problems with Java-based solutions
Table of Contents (19 chapters)
Java for Data Science
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Chapter 10. Visual and Audio Analysis

The use of sound, images, and videos is becoming a more important aspect of our day-to-day lives. Phone conversations and devices reliant on voice commands are increasingly common. People regularly conduct video chats with other people around the world. There has been a rapid proliferation of photo and video sharing sites. Applications that utilize images, video, and sound from a variety of sources are becoming more common.

In this chapter, we will demonstrate several techniques available to Java to process sounds and images. The first part of the chapter addresses sound processing. Both speech recognition and Text-To-Speech (TTS) APIs will be demonstrated. Specifically, we will use the FreeTTS (http://freetts.sourceforge.net/docs/index.php) API to convert text to speech, followed with a demonstration of the CMU Sphinx toolkit for speech recognition.

The Java Speech API (JSAPI) (http://www.oracle.com/technetwork/java/index-140170.html) provides access...