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Linear Prediction Synthesis

  • Chapter
An Introduction to Text-to-Speech Synthesis

Part of the book series: Text, Speech and Language Technology ((TLTB,volume 3))

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Abstract

The most basic speech production model used in speech processing is, undoubtedly, the source-filter model. Since 1960, the year of its first appearance in Fant (1960) and its simplification into the auto-regressive model, it has given birth to dozens of profitable interpretations (see Markel and Gray, 1976 for a review), from maximum likelihood to polynomial approaches, through the extensively used spectral interpretation. All of them share the same mathematical reality observed in various lights. Instead of providing the reader with yet another overview of these developments, we have chosen to present a somewhat original geometrical interpretation of the linear prediction (LP) framework, an approach that is seldom investigated in the literature (it is introduced in Kroon, 1985, and Alexander, 1986), even though it does yield a significant insight into auto-regressive models1. Particular care has been taken in its presentation, in order to avoid abusively simplistic interpretations, which often result from ill-considered generalization of three-to N-dimension concepts. A clear understanding of the notions involved in the first few sections of this chapter will also be of some use in Section 8.9, which is employed to examine to what extent the glottal autoregressive model (GAR) constitutes an important refinement to the classical AR model.

It is a poor sort of memory that only works backwards. Lewis Carroll, Through the Looking Glass

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  1. Faculté Polytechnique de Mons, Mons, Belgium

    Thierry Dutoit

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  1. Thierry Dutoit
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© 1997 Springer Science+Business Media Dordrecht

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Dutoit, T. (1997). Linear Prediction Synthesis. In: An Introduction to Text-to-Speech Synthesis. Text, Speech and Language Technology, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5730-8_8

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  • DOI: https://doi.org/10.1007/978-94-011-5730-8_8

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-0369-1

  • Online ISBN: 978-94-011-5730-8

  • eBook Packages: Springer Book Archive

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