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

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 ac...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Hirose, Keikichi (Editor), Tao, Jianhua (Editor)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Series:Prosody, Phonology and Phonetics,
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Modeling of Prosody
  • ProZed: A speech prosody editor for linguists, using analysis-by-synthesis
  • On degree of freedom in prosody modeling
  • Extraction, analysis and synthesis of Fujisaki model parameters
  • Probabilistic modeling of pitch contours towards prosody synthesis and conversion
  • Para- and non-linguistic issues of prosody
  • Communicative speech synthesis as pan-linguistic prosody control
  • Mandarin stress analysis and prediction for speech synthesis
  • Expressivity in interactive speech synthesis; some para-linguistic and non-linguistic issues of speech prosody for conversational dialogue systems
  • Temporally variable multi-attribute morphing of arbitrarily many voices for exploratory research of speech prosody
  • Control of prosody in speech synthesis
  • Statistical models for dealing with discontinuity of fundamental frequency
  • Use of generation process model for improved control of fundamental frequency contours in HMM-based speech synthesis
  • Tone Nucleus Model for Emotional Mandarin Speech Synthesis
  • Emphasis, word prominence, and continuous wavelet transform in the control of HMM based synthesis
  • Exploiting alternatives for text-to-speech synthesis: from machine to human
  • Prosody control and variation enhancement techniques for HMM-based expressive speech synthesis.