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Statistical Approach to the Automatic Synthesis of Czech Speech

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Book cover Text, Speech and Dialogue (TSD 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1692))

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Abstract

The usage of multiple Hidden Markov Models (HMMs) to construct a Czech speech segment database (SSD) and a speech synthesis based on this inventory are presented in this paper. HMMs are used to model triphones. Binary decision trees are applied to automatically cluster the states of triphone HMMs. The clustered states are then employed to automatically segment the speech corpus and to create a SSD. The SSD constructed in this way is assumed to enable more precise context modeling than was previously possible. Several speech techniques are discussed to construct a concatenation-based synthesizer. Special attention is paid to an MFCC-based pitch-synchronous residually excited approach.

This work was supported by the project No. VS97159 of the Ministry of Education of Czech Republic

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References

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Author information

Authors and Affiliations

  1. University of West Bohemia, Department of Cybernetics, Univerzitní 8, 306 14, Plzeň, Czech Republic

    Jindřich Matoušek, Josef Psutka & Zbyněk Tychtl

Authors
  1. Jindřich Matoušek
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  2. Josef Psutka
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  3. Zbyněk Tychtl
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineerig, Faculty of Applied Sciences, University of West Bohemia in Plzeň, Universitní 22, 306 14, Pizeň, Czech Republic

    Václav Matousek , Pavel Mautner  & Jana Ocelíková ,  & 

  2. Department of Programming Systems and Communication, Faculty of Informatics, Masaryk University Brno, Botanická 68a, 602 00, Brno, Czech Republic

    Petr Sojka

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© 1999 Springer-Verlag Berlin Heidelberg

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Matoušek, J., Psutka, J., Tychtl, Z. (1999). Statistical Approach to the Automatic Synthesis of Czech Speech. In: Matousek, V., Mautner, P., Ocelíková, J., Sojka, P. (eds) Text, Speech and Dialogue. TSD 1999. Lecture Notes in Computer Science(), vol 1692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48239-3_72

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  • DOI: https://doi.org/10.1007/3-540-48239-3_72

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66494-9

  • Online ISBN: 978-3-540-48239-0

  • eBook Packages: Springer Book Archive

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