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Improving the functionality of a text-to-speech system by adding morphological knowledge

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KI-96: Advances in Artificial Intelligence (KI 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1137))

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Abstract

The quality-improvement of a speech synthesis system is tightly linked with the generation of natural sounding prosody. Reliable accentuation and structuring of the text based on syntactic knowledge are prerequisites for this goal. After the implementation of the morphological analysis system mpro, developed at IAI Saarbruecken, these functions are available in the text-to-speech system of the Dresden University of Technology.

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Reference

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Author information

Authors and Affiliations

  1. Institut für Technische Akustik, Technische Universität Dresden, Deutschland

    Diane Hirschfeld

  2. Institut für Angewandte Informationsforschung e.V. (IAI) an der Universität des Saarlandes, Saarbrücken

    Heinz-Dieter Maas

Authors
  1. Diane Hirschfeld
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  2. Heinz-Dieter Maas
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Günther Görz Steffen Hölldobler

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© 1996 Springer-Verlag Berlin Heidelberg

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Hirschfeld, D., Maas, HD. (1996). Improving the functionality of a text-to-speech system by adding morphological knowledge. In: Görz, G., Hölldobler, S. (eds) KI-96: Advances in Artificial Intelligence. KI 1996. Lecture Notes in Computer Science, vol 1137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61708-6_52

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  • DOI: https://doi.org/10.1007/3-540-61708-6_52

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61708-2

  • Online ISBN: 978-3-540-70669-4

  • eBook Packages: Springer Book Archive

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