Signal approximation in Hilbert space and its application on articulatory speech synthesis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we apply signal approximation theory to estimate the articulatory trajectory for a nonlinear speech synthesizer. First, we analyze the L2 error bounds of interpolation and LS approximation in the Hilbert space framework. Second, we use two signal approximation techniques, specifically, cubic spline interpolation and the LS approximation to estimate the trajectory of articulatory parameters given the static articulatory parameters of discrete phonemes. In our articulatory speech synthesizer, we assume that the sound propagation inside the human vocal tract is a three-dimensional non-plane wave propagation inside a viscous uid described by the governing Navier-Stoke equations. Finally, we present some experimental results of the estimated articulatory trajectories of English diphthongs and the synthesized phonemes.

Original languageEnglish (US)
Title of host publication6th International Conference on Spoken Language Processing, ICSLP 2000
PublisherInternational Speech Communication Association
ISBN (Electronic)7801501144, 9787801501141
StatePublished - Jan 1 2000
Event6th International Conference on Spoken Language Processing, ICSLP 2000 - Beijing, China
Duration: Oct 16 2000Oct 20 2000

Publication series

Name6th International Conference on Spoken Language Processing, ICSLP 2000

Other

Other6th International Conference on Spoken Language Processing, ICSLP 2000
CountryChina
CityBeijing
Period10/16/0010/20/00

ASJC Scopus subject areas

  • Linguistics and Language
  • Language and Linguistics

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  • Cite this

    Huang, J., Levinson, S., & Hasegawa-Johnson, M. (2000). Signal approximation in Hilbert space and its application on articulatory speech synthesis. In 6th International Conference on Spoken Language Processing, ICSLP 2000 (6th International Conference on Spoken Language Processing, ICSLP 2000). International Speech Communication Association.