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|a 9783030027599
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|a 10.1007/978-3-030-02759-9
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|a Rao, K. Sreenivasa.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 245 |
1 |
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|a Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis
|h [electronic resource] /
|c by K. Sreenivasa Rao, N. P. Narendra.
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| 250 |
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|a 1st ed. 2019.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2019.
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| 300 |
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|a XII, 136 p. 74 illus., 11 illus. in color.
|b online resource.
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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,
|x 2191-737X
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| 490 |
1 |
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|a Springer eBook Collection
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| 505 |
0 |
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|a Chapter 1. Introduction -- Chapter 2. Background and literature review -- Chapter 3. Robust voicing detection and F0 estimation method -- Chapter 4. Parametric approach of modeling the source signal -- Chapter 5. Hybrid approach of modeling the source signal -- Chapter 6. Generation of creaky voice -- Chapter 7. Summary and conclusions.
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| 520 |
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|a This book presents a statistical parametric speech synthesis (SPSS) framework for developing a speech synthesis system where the desired speech is generated from the parameters of vocal tract and excitation source. Throughout the book, the authors discuss novel source modeling techniques to enhance the naturalness and overall intelligibility of the SPSS system. This book provides several important methods and models for generating the excitation source parameters for enhancing the overall quality of synthesized speech. The contents of the book are useful for both researchers and system developers. For researchers, the book is useful for knowing the current state-of-the-art excitation source models for SPSS and further refining the source models to incorporate the realistic semantics present in the text. For system developers, the book is useful to integrate the sophisticated excitation source models mentioned to the latest models of mobile/smart phones. Presents the efficient excitation source modeling techniques for generating high quality speech; Includes a combination of both waveform and parametric methods to enhance the quality of synthesis; Features and methods that need less memory and computational requirements than others, allowing them to be integrated to smart phones and smaller devices.
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| 590 |
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|a Loaded electronically.
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| 590 |
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|a Electronic access restricted to members of the Holy Cross Community.
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| 650 |
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0 |
|a Signal processing.
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| 650 |
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0 |
|a Image processing.
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| 650 |
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0 |
|a Speech processing systems.
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| 650 |
|
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|a Natural language processing (Computer science).
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| 650 |
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|a Computational linguistics.
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| 690 |
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|a Electronic resources (E-books)
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| 700 |
1 |
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|a Narendra, N. P.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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| 710 |
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|a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
|x 2191-737X
|
| 830 |
|
0 |
|a Springer eBook Collection.
|
| 856 |
4 |
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|u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.1007/978-3-030-02759-9
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