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Python Machine Learning Cookbook

You're reading from   Python Machine Learning Cookbook Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789808452
Length 642 pages
Edition 2nd Edition
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Authors (2):
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Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
Prateek Joshi Prateek Joshi
Author Profile Icon Prateek Joshi
Prateek Joshi
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Toc

Table of Contents (18) Chapters Close

Preface 1. The Realm of Supervised Learning FREE CHAPTER 2. Constructing a Classifier 3. Predictive Modeling 4. Clustering with Unsupervised Learning 5. Visualizing Data 6. Building Recommendation Engines 7. Analyzing Text Data 8. Speech Recognition 9. Dissecting Time Series and Sequential Data 10. Analyzing Image Content 11. Biometric Face Recognition 12. Reinforcement Learning Techniques 13. Deep Neural Networks 14. Unsupervised Representation Learning 15. Automated Machine Learning and Transfer Learning 16. Unlocking Production Issues 17. Other Books You May Enjoy

Building a TTS system

Speech synthesis is the technique that is used for the artificial reproduction of the human voice. A system used for this purpose is called a speech synthesizer and can be implemented by software or hardware. Speech synthesis systems are also known as TTS systems due to their ability to convert text into speech. There are also systems that convert phonetic symbols into speech.

Speech synthesis can be achieved by concatenating recordings of vocals stored in a database. The various systems of speech synthesis differ according to the size of the stored voice samples. That is, a system that stores single phonemes or double phonemes allows you to obtain the maximum number of combinations at the expense of overall clarity, while other systems which are designed for a specific use repeat themselves, to record whole words or entire sentences in order to achieve a...

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