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Source Modeling Techniques For Quality Enhancement In Statistical Parametric Speech Synthesis eBook

by N. P. Narendra e K. Sreenivasa Rao
language: english
Publisher: Springer International Publishing, December of 2018 ‧
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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.

Source Modeling Techniques For Quality Enhancement In Statistical Parametric Speech Synthesis

by N. P. Narendra e K. Sreenivasa Rao

Property Description
ISBN: 9783030027599
Publisher: Springer International Publishing
Release Date: December of 2018
Language: English
Format: eBook
File Format and Compatibility:
Collection: Springerbriefs In Speech Technology
Categories: eBooks in English > Fiction > Linguistics and Philology
EAN: 9783030027599
Acessibilidade: Ver características de acessibilidade indicadas pelo editor

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