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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis (Paperback, 1st ed. 2019)
Loot Price: R1,557
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Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis (Paperback, 1st ed. 2019)
Series: SpringerBriefs in Speech Technology
Expected to ship within 10 - 15 working days
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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.
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