Description: Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis by K. Sreenivasa Rao, N.P. Narendra 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Back Cover 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. Author Biography K. Sreenivasa Rao is currently a Professor at IIT Kharagpur, where he has taught since 2007. He has also worked at IIT Guwahati and IIT Madras. He received his PhD from IIT Madras in 2005. He is the author of 8 books, 68 journal articles, 2 patents, 25 book chapters, and 140 conference proceedings.Narendra N P is a Postdoctoral Researcher at Aalto University. He received his PhD at IIT Kharagpur in 2016. He has published 7 journal articles, 3 book chapters, and 15 conference proceedings. Table of Contents 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. Feature 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 Details ISBN3030027589 Author N.P. Narendra Year 2019 ISBN-10 3030027589 ISBN-13 9783030027582 Pages 136 Publication Date 2019-01-28 Language English Format Paperback DOI 10.1007/978-3-030-02759-9 Edition 1st Imprint Springer Nature Switzerland AG Place of Publication Cham Country of Publication Switzerland Publisher Springer Nature Switzerland AG Edition Description 1st ed. 2019 Series SpringerBriefs in Speech Technology DEWEY 006.35 Audience Professional & Vocational Illustrations 11 Illustrations, color; 63 Illustrations, black and white; XII, 136 p. 74 illus., 11 illus. in color. We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:131019226;
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ISBN-13: 9783030027582
Book Title: Source Modeling Techniques for Quality Enhancement in Statistical
Number of Pages: 136 Pages
Publication Name: Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis
Language: English
Publisher: Springer Nature Switzerland Ag
Item Height: 235 mm
Subject: Engineering & Technology, Computer Science
Publication Year: 2019
Type: Textbook
Item Weight: 238 g
Author: K. Sreenivasa Rao, N. P. Narendra
Item Width: 155 mm
Format: Paperback