株式会社極東書店トップ商品一覧Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis. 2019 ed.

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Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis. 2019 ed.

Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis. 2019 ed.

・ISBN 978-3-030-02758-2 paper EUR 49.99

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お気に入り
著者・編者Rao, K. Sreenivasa / Narendra, N. P.,
シリーズ (SpringerBriefs in Speech Technology)
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2019
ページ数136 pp.
言語ENG
ニュース番号<A02-66622>

解説

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.