Articulatory Speech Synthesis from the Fluid Dynamics of the Vocal Apparatus (Record no. 86067)

000 -LEADER
fixed length control field 04142nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-031-02563-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730165037.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2012 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031025631
-- 978-3-031-02563-1
082 04 - CLASSIFICATION NUMBER
Call Number 621.3
100 1# - AUTHOR NAME
Author Levinson, Stephen.
245 10 - TITLE STATEMENT
Title Articulatory Speech Synthesis from the Fluid Dynamics of the Vocal Apparatus
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2012.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XII, 104 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Speech and Audio Processing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Literature Review -- Estimation of Dynamic Articulatory Parameters -- Construction of Articulatory Model Based on MRI Data -- Vocal Fold Excitation Models -- Experimental Results of Articulatory Synthesis -- Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc This book addresses the problem of articulatory speech synthesis based on computed vocal tract geometries and the basic physics of sound production in it. Unlike conventional methods based on analysis/synthesis using the well-known source filter model, which assumes the independence of the excitation and filter, we treat the entire vocal apparatus as one mechanical system that produces sound by means of fluid dynamics. The vocal apparatus is represented as a three-dimensional time-varying mechanism and the sound propagation inside it is due to the non-planar propagation of acoustic waves through a viscous, compressible fluid described by the Navier-Stokes equations. We propose a combined minimum energy and minimum jerk criterion to compute the dynamics of the vocal tract during articulation. Theoretical error bounds and experimental results show that this method obtains a close match to the phonetic target positions while avoiding abrupt changes in the articulatory trajectory. The vocal folds are set into aerodynamic oscillation by the flow of air from the lungs. The modulated air stream then excites the moving vocal tract. This method shows strong evidence for source-filter interaction. Based on our results, we propose that the articulatory speech production model has the potential to synthesize speech and provide a compact parameterization of the speech signal that can be useful in a wide variety of speech signal processing problems. Table of Contents: Introduction / Literature Review / Estimation of Dynamic Articulatory Parameters / Construction of Articulatory Model Based on MRI Data / Vocal Fold Excitation Models / Experimental Results of Articulatory Synthesis / Conclusion.
700 1# - AUTHOR 2
Author 2 Davis, Don.
700 1# - AUTHOR 2
Author 2 Slimon, Scott.
700 1# - AUTHOR 2
Author 2 Huang, Jun.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-02563-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2012.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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347 ## -
-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Acoustical engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical and Electronic Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Speech and Image Processing.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering Acoustics.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1932-1678
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-- ZDB-2-SXSC

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