Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis is popular PDF and ePub book, written by K. Sreenivasa Rao in 2018-12-13, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis can be Read Online from any device for your convenience.
Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis Book PDF Summary
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.
Detail Book of Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis PDF
- Author : K. Sreenivasa Rao
- Release : 13 December 2018
- Publisher : Springer
- ISBN : 9783030027599
- Genre : Technology & Engineering
- Total Page : 136 pages
- Language : English
- PDF File Size : 12,8 Mb
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