Computer Science
Predicting Prosody from Text for Text-To-Speech Synthesis (English, K. Sreenivasa Rao)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9781461413370 |
| ISBN-10 | 1461413370 |
| Author | K. Sreenivasa Rao |
Product Description
Here on GlowMirror, you'll find Predicting Prosody from Text for Text-To-Speech Synthesis filed under Computer Science -- everything you need to know is covered below.
About the Book
Predicting Prosody from Text for Text-to-Speech Synthesis covers the specific aspects of prosody, mainly focusing on how to predict the prosodic information from linguistic text, and then how to exploit the predicted prosodic knowledge for various speech applications. Author K. Sreenivasa Rao discusses proposed methods along with state-of-the-art techniques for the acquisition and incorporation of prosodic knowledge for developing speech systems.…
ISBN: 9781461413370
Book Insights
What You'll Learn
- ·Fundamental and advanced concepts in Predicting Prosody from Text for Text-To-Speech Synthesis
- ·Code examples, algorithms, and implementation patterns
- ·Best practices and industry-relevant skills
Who Should Read This
Software developers, IT professionals, computer science students, and tech enthusiasts.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Frequently Asked Questions
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Is Predicting Prosody from Text for Text-To-Speech Synthesis available in English?
Predicting Prosody from Text for Text-To-Speech Synthesis is available in English on GlowMirror.
Who is the author of Predicting Prosody from Text for Text-To-Speech Synthesis?
Predicting Prosody from Text for Text-To-Speech Synthesis is authored by K. Sreenivasa Rao.
Who published Predicting Prosody from Text for Text-To-Speech Synthesis?
Predicting Prosody from Text for Text-To-Speech Synthesis is published by Springer.
How many pages does Predicting Prosody from Text for Text-To-Speech Synthesis have?
Page count information for Predicting Prosody from Text for Text-To-Speech Synthesis is available in the specifications section of this page.
How long does it take to read Predicting Prosody from Text for Text-To-Speech Synthesis?
At an average reading speed of 250 words per minute, reading Predicting Prosody from Text for Text-To-Speech Synthesis takes a few hours to a few days depending on reading pace.
What is Predicting Prosody from Text for Text-To-Speech Synthesis about?
About the Book
Predicting Prosody from Text for Text-to-Speech Synthesis covers the specific aspects of prosody, mainly focusing on how to predict the prosodic information from linguistic text, and then how to exploit the predicted prosodic knowledge for various speech applications. Author K. Sree...
Is Predicting Prosody from Text for Text-To-Speech Synthesis suitable for beginners?
Whether Predicting Prosody from Text for Text-To-Speech Synthesis is suitable for beginners depends on your background in Computer Science. Review the product description and specifications above for details on the target audience and difficulty level.
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Predicting Prosody from Text for Text-To-Speech Synthesis is from the Springer edition/year. Check the specifications section for full edition details.
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Predicting Prosody from Text for Text-To-Speech Synthesis listed on GlowMirror is a brand new book in good condition.
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