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Java: Data Science Made Easy

You're reading from   Java: Data Science Made Easy Data collection, processing, analysis, and more

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Product type Course
Published in Jul 2017
Publisher Packt
ISBN-13 9781788475655
Length 734 pages
Edition 1st Edition
Languages
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Authors (3):
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Alexey Grigorev Alexey Grigorev
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Alexey Grigorev
Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
Jennifer L. Reese Jennifer L. Reese
Author Profile Icon Jennifer L. Reese
Jennifer L. Reese
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Toc

Table of Contents (29) Chapters Close

Title Page
Credits
Preface
1. Module 1 FREE CHAPTER
2. Getting Started with Data Science 3. Data Acquisition 4. Data Cleaning 5. Data Visualization 6. Statistical Data Analysis Techniques 7. Machine Learning 8. Neural Networks 9. Deep Learning 10. Text Analysis 11. Visual and Audio Analysis 12. Visual and Audio Analysis 13. Mathematical and Parallel Techniques for Data Analysis 14. Bringing It All Together 15. Module 2
16. Data Science Using Java 17. Data Processing Toolbox 18. Exploratory Data Analysis 19. Supervised Learning - Classification and Regression 20. Unsupervised Learning - Clustering and Dimensionality Reduction 21. Working with Text - Natural Language Processing and Information Retrieval 22. Extreme Gradient Boosting 23. Deep Learning with DeepLearning4J 24. Scaling Data Science 25. Deploying Data Science Models 26. Bibliography

Text-to-speech


Speech synthesis generates human speech. TTS converts text to speech and is useful for a number of different applications. It is used in many places, including phone help desk systems and ordering systems. The TTS process typically consists of two parts. The first part tokenizes and otherwise processes the text into speech units. The second part converts these units into speech.

The two primary approaches for TTS uses concatenation synthesis and formant synthesis. Concatenation synthesis frequently combines prerecorded human speech to create the desired output. Formant synthesis does not use human speech but generates speech by creating electronic waveforms.

We will be using FreeTTS (http://freetts.sourceforge.net/docs/index.php) to demonstrate TTS. The latest version can be downloaded from https://sourceforge.net/projects/freetts/files/. This approach uses concatenation to generate speech.

There are several important terms used in TTS/FreeTTS:

  • Utterance - This concept corresponds...
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