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Signal Analysis and Modelling for Speech Processing

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Signal Analysis and Prediction

Part of the book series: Applied and Numerical Harmonic Analysis ((ANHA))

Abstract

This chapter presents a survey of standard and advanced methods for the analysis and modelling speech signals. First it introduces several speech processing functions as part of voice communication systems technology and proceeds to a brief description of human speech production. Prom this, a two-tier physical model of speech emerges which embraces the speech organ movements at the articulatory tier and the coupled aerodynamic flow and sound propagation at the aero-acoustic tier. Both of these physical tiers appear as separate components in most computational speech signal models. Their discussion addresses both the standard view of linear short-time stationarity and more advanced concepts from non-stationary processes (underspread processes, cyclostationarity) and non-linear systems (neural networks, non-linear oscillators).

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Authors and Affiliations

  1. Institute of Communications and High-Frequency Engineering, Vienna University of Technology, Gusshausstrasse 25/389, A-1040, Vienna, Austria

    Gernot Kubin

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  1. Gernot Kubin
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Editors and Affiliations

  1. Institute of Chemical Technology, Prague, Czech Republic

    Ales Procházka

  2. Czech Technical University, Prague, Czech Republic

    Jan UhlĂ­Ĺ™

  3. University of Cambridge, England, UK

    P. W. J. Rayner  & N. G. Kingsbury  & 

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Kubin, G. (1998). Signal Analysis and Modelling for Speech Processing. In: Procházka, A., Uhlíř, J., Rayner, P.W.J., Kingsbury, N.G. (eds) Signal Analysis and Prediction. Applied and Numerical Harmonic Analysis. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-1768-8_26

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  • DOI: https://doi.org/10.1007/978-1-4612-1768-8_26

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4612-7273-1

  • Online ISBN: 978-1-4612-1768-8

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