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Epoch Synchronous Overlap Add (ESOLA...
~
Datta, Asoke Kumar.
Epoch Synchronous Overlap Add (ESOLA) = A Concatenative Synthesis Procedure for Speech /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Epoch Synchronous Overlap Add (ESOLA)/ by Asoke Kumar Datta.
Reminder of title:
A Concatenative Synthesis Procedure for Speech /
Author:
Datta, Asoke Kumar.
Description:
XII, 197 p. 88 illus., 32 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Signal processing. -
Online resource:
https://doi.org/10.1007/978-981-10-7016-7
ISBN:
9789811070167
Epoch Synchronous Overlap Add (ESOLA) = A Concatenative Synthesis Procedure for Speech /
Datta, Asoke Kumar.
Epoch Synchronous Overlap Add (ESOLA)
A Concatenative Synthesis Procedure for Speech /[electronic resource] :by Asoke Kumar Datta. - 1st ed. 2018. - XII, 197 p. 88 illus., 32 illus. in color.online resource. - Signals and Communication Technology,1860-4862. - Signals and Communication Technology,.
Introduction -- Epoch Synchronous Overlap Add (ESOLA) Algorithm -- State Phase Analysis: PDA/VDA Algorithm and Phoneme Classifier -- Phonological Rules -- Intonation -- Random Perturbations -- Application in singing synthesis.
This book presents details of a text-to-speech synthesis procedure using epoch synchronous overlap add (ESOLA), and provides a solution for development of a text-to-speech system using minimum data resources compared to existing solutions. It also examines most natural speech signals including random perturbation in synthesis. The book is intended for students, researchers and industrial practitioners in the field of text-to-speech synthesis. .
ISBN: 9789811070167
Standard No.: 10.1007/978-981-10-7016-7doiSubjects--Topical Terms:
561459
Signal processing.
LC Class. No.: TK5102.9
Dewey Class. No.: 621.382
Epoch Synchronous Overlap Add (ESOLA) = A Concatenative Synthesis Procedure for Speech /
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This book presents details of a text-to-speech synthesis procedure using epoch synchronous overlap add (ESOLA), and provides a solution for development of a text-to-speech system using minimum data resources compared to existing solutions. It also examines most natural speech signals including random perturbation in synthesis. The book is intended for students, researchers and industrial practitioners in the field of text-to-speech synthesis. .
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