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130626 ||| eng |
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|a 9781461413387
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|a Rao, K. Sreenivasa
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|a Predicting Prosody from Text for Text-to-Speech Synthesis
|h Elektronische Ressource
|c by K. Sreenivasa Rao
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| 250 |
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|a 1st ed. 2012
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| 260 |
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|a New York, NY
|b Springer New York
|c 2012, 2012
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| 300 |
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|a XII, 130 p. 42 illus
|b online resource
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|a 1. Introduction -- 2. Prosody Knowledge for Speech Systems: A Review -- 3. Analysis of Durationsn of Sound Units -- 4. Modeling Duration -- 5. Modeling Intonation -- 6. Prosody Modification -- 7. Practical Aspects of Prosody Modification -- 8. Summary and Conclusions -- Appendix A. Coding Scheme Used to Represent Linguistic and Production Constraints
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| 653 |
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|a Natural Language Processing (NLP)
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| 653 |
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|a Signal processing
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| 653 |
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|a Computational Linguistics
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| 653 |
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|a Natural language processing (Computer science)
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| 653 |
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|a Computational linguistics
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| 653 |
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|a Signal, Speech and Image Processing
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning
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| 028 |
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|a 10.1007/978-1-4614-1338-7
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| 856 |
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|u https://doi.org/10.1007/978-1-4614-1338-7?nosfx=y
|x Verlag
|3 Volltext
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|a 621.382
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| 520 |
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|a 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. Positional, contextual and phonological features are proposed for representing the linguistic and production constraints of the sound units present in the text. This book is intended for graduate students and researchers working in the area of speech processing
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