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Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis: SpringerBriefs in Speech Technology

Autor K. Sreenivasa Rao, N. P. Narendra
en Limba Engleză Paperback – 28 ian 2019
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.
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Specificații

ISBN-13: 9783030027582
ISBN-10: 3030027589
Pagini: 111
Ilustrații: XII, 136 p. 74 illus., 11 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.22 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Speech Technology

Locul publicării:Cham, Switzerland

Cuprins

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.

Notă biografică

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.


Textul de pe ultima copertă

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.


Caracteristici

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