Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis

£44.99

Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis

Computational and corpus linguistics Electronics engineering Natural language and machine translation Digital signal processing (DSP)

Authors: K. Sreenivasa Rao, N.P. Narendra

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Collection: SpringerBriefs in Speech Technology

Language: English

Published by: Springer

Published on: 13th December 2018

Format: LCP-protected ePub

Size: 9 Mb

ISBN: 9783030027599


Introduction

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.

Methods and Models

This book provides several important methods and models for generating the excitation source parameters for enhancing the overall quality of synthesized speech.

Intended Audience

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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