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Hungarian Speech Synthesis Using a Phase Exact HNM Approach

  • Conference paper
  • First Online: 27 November 2002
  • pp 181–185
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SOFSEM 2002: Theory and Practice of Informatics (SOFSEM 2002)
Hungarian Speech Synthesis Using a Phase Exact HNM Approach
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  • Kornél Kovács6,7,
  • András Kocsor6,7 &
  • László Tóth6,7 

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2540))

Included in the following conference series:

  • International Conference on Current Trends in Theory and Practice of Computer Science
  • 213 Accesses

Abstract

Unnaturally sounding speech prevents the listeners from recognizing the message of the signal. In this paper we demonstrate how a precise initial phase approximation can improve the naturalness of artificially generated speech. Using the Harmonic plus Noise Model provided by Stylianou as a framework for a Hungarian speech synthesis, the exact initial phase extension of the system can be easily performed. The proposed method turns out to be more effective in preserving the sound characteristics and quality than the original one.

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Author information

Authors and Affiliations

  1. Research Group on Artificial Intelligence of the Hungarian Academy of Sciences, Hungary

    Kornél Kovács, András Kocsor & László Tóth

  2. University of Szeged, H-6720 Szeged, Aradi vértanúk tere 1, Hungary

    Kornél Kovács, András Kocsor & László Tóth

Authors
  1. Kornél Kovács
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  2. András Kocsor
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  3. László Tóth
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, University of Michigan - Dearborn, 4901 Evergreen Road, Dearborn, 48128, Michigan, USA

    William I. Grosky

  2. Department of Software Engineering School of Computer Science, Charles University, Malostranské nám. 25, 118 00, Prague, Czech Republic

    František Plášil

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© 2002 Springer-Verlag Berlin Heidelberg

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Kovács, K., Kocsor, A., Tóth, L. (2002). Hungarian Speech Synthesis Using a Phase Exact HNM Approach. In: Grosky, W.I., Plášil, F. (eds) SOFSEM 2002: Theory and Practice of Informatics. SOFSEM 2002. Lecture Notes in Computer Science, vol 2540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36137-5_12

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  • DOI: https://doi.org/10.1007/3-540-36137-5_12

  • Published: 27 November 2002

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00145-4

  • Online ISBN: 978-3-540-36137-4

  • eBook Packages: Springer Book Archive

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Keywords

  • Speech Signal
  • Noise Model
  • Harmonic Approximation
  • Speech Synthesis
  • Pitch Period

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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