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Advances in Non-Linear Modeling for Speech ProcessingIntroduction

Advances in Non-Linear Modeling for Speech Processing: Introduction [For several decades, the traditional approach to speech modeling has been the linear (source-filter) model where the true nonlinear physics of speech production is approximated via the standard assumptions of linear acoustics and one-dimensional plane wave propagation of the sound in the vocal tract. The linear model has been applied with limited success to applications like speech coding, synthesis and recognition. However, to build successful applications, deviations from the linear model are often modeled as second-order effects or error terms. There are strong theoretical and experimental evidences for the existence of important nonlinear aerodynamic phenomena during the speech production that cannot be accounted for by the linear model. Thus, the linear model can be viewed only as a first-order approximation to the true speech acoustics which also contains second-order and nonlinear structure.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Advances in Non-Linear Modeling for Speech ProcessingIntroduction

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Publisher
Springer US
Copyright
© The Author(s) 2012
ISBN
978-1-4614-1504-6
Pages
1 –9
DOI
10.1007/978-1-4614-1505-3_1
Publisher site
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Abstract

[For several decades, the traditional approach to speech modeling has been the linear (source-filter) model where the true nonlinear physics of speech production is approximated via the standard assumptions of linear acoustics and one-dimensional plane wave propagation of the sound in the vocal tract. The linear model has been applied with limited success to applications like speech coding, synthesis and recognition. However, to build successful applications, deviations from the linear model are often modeled as second-order effects or error terms. There are strong theoretical and experimental evidences for the existence of important nonlinear aerodynamic phenomena during the speech production that cannot be accounted for by the linear model. Thus, the linear model can be viewed only as a first-order approximation to the true speech acoustics which also contains second-order and nonlinear structure.]

Published: Feb 21, 2012

Keywords: Speech Signal; Vocal Fold; Speech Production; Vocal Tract; Speaker Recognition

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