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Speech Prosody in Speech Synthesis: Modeling and generation of prosody for high quality and flexible speech synthesis

  • Keikichi Hirose
  • Jianhua Tao

Part of the Prosody, Phonology and Phonetics book series (PRPHPH)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Modeling of Prosody

  3. Para- and Non-Linguistic Issues of Prosody

  4. Control of Prosody in Speech Synthesis

About this book

Introduction

The volume addresses issues concerning prosody generation in speech synthesis, including prosody modeling, how we can convey para- and non-linguistic information in speech synthesis, and prosody control in speech synthesis (including prosody conversions).  A high level of quality has already been achieved in speech synthesis by using selection-based methods with segments of human speech.  Although the method enables synthetic speech with various voice qualities and speaking styles, it requires large speech corpora with targeted quality and style.

Accordingly, speech conversion techniques are now of growing interest among researchers.  HMM/GMM-based methods are widely used, but entail several major problems when viewed from the prosody perspective; prosodic features cover a wider time span than segmental features and their frame-by-frame processing is not always appropriate. The book offers a good overview of state-of-the-art studies on prosody in speech synthesis.  

Keywords

Modeling of Prosody Prosody Conversions Prosody Generation Selection-based Methods with Segments of Human Speech Speech Synthesis

Editors and affiliations

  • Keikichi Hirose
    • 1
  • Jianhua Tao
    • 2
  1. 1.University of TokyoTokyoJapan
  2. 2.Institute of AutomationChinese Academy of SciencesBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-45258-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2015
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Humanities, Social Sciences and Law
  • Print ISBN 978-3-662-45257-8
  • Online ISBN 978-3-662-45258-5
  • Series Print ISSN 2197-8700
  • Series Online ISSN 2197-8719
  • Buy this book on publisher's site