Record:   Prev Next
Author Rao, K. Sreenivasa (Krothapalli Sreenivasa), author
Title Source modeling techniques for quality enhancement in statistical parametric speech synthesis / K. Sreenivasa Rao, N. P. Narendra
Imprint Cham, Switzerland : Springer, [2019]
©2019
book jacket
LOCATION CALL # STATUS OPACMSG BARCODE
 人文社會聯圖  TK7882.S65 R36 2019    AVAILABLE    30630020122774
Descript xii, 136 pages : illustrations ; 24 cm
text txt rdacontent
unmediated n rdamedia
volume nc rdacarrier
Series SpringerBriefs in speech technology
SpringerBriefs in electrical and computer engineering. Speech technology
Note Includes bibliographical references and index
Background and literature review -- Robust voicing detection and F₀ estimation method -- Parametric approach of modeling the source signal -- Hybrid approach of modeling the source signal -- Generation of creaky voice
"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."-- Provided by publisher
Subject Speech synthesis
Speech synthesis. fast (OCoLC)fst01129255
Alt Author Narendra, N. P., author
Record:   Prev Next