Skip to main content

Czech Text-to-Sign Speech Synthesizer

  • Conference paper
Machine Learning for Multimodal Interaction (MLMI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4892))

Included in the following conference series:

Abstract

Recent research progress in developing of the Czech – Sign Speech synthesizer is presented. The current goal is to improve the system for automatic synthesis to produce accurate synthesis of the Sign Speech. The synthesis system converts written text to an animation of an artificial human model (avatar). This includes translation of text to sign phrases and their conversion to the animation of the avatar. The animation is composed of movements and deformations of segments of hands, a head and also a face. The system has been evaluated by two initial perceptual tests. The perceptual tests indicate that the designed synthesis system is capable to produce the intelligible Sign Speech.

Support for this work was provided by the Grant Agency of Academy of Sciences of the Czech Republic, project No. 1ET101470416 and MŠMT LC536.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Koehn, P., et al.: Statistical Phrase-Based Translation. In: HLT/NAACL (2003)

    Google Scholar 

  2. Koehn, P., et al.: Moses: Open Source Toolkit for Statistical Machine Translation. In: Annual Meeting of the Association for Computational Linguistics (ACL), demonstration session, Prague, Czech Republic (June 2007)

    Google Scholar 

  3. Kanis, J., et al.: Czech-Sign Speech Corpus for Semantic Based Machine Translation. In: Sojka, P., Kopeček, I., Pala, K. (eds.) TSD 2006. LNCS (LNAI), vol. 4188, pp. 613–620. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  4. Papineni, K.A., et al.: Bleu: A method for automatic evaluation of machine translation, Technical Report RC22176 (W0109-022), IBM Research Division, Thomas J. Watson Research Center (2001)

    Google Scholar 

  5. Hoidekr, J., et al.: Benefit of a class-based language model for real-time closed-captioning of TV ice-hockey commentaries. In: Proceedings of LREC 2006. Paris: ELRA, pp. 2064–2067 (2006), ISBN 2-9517408-2-4

    Google Scholar 

  6. Krňoul, Z., Železný, M., Müller, L., Kanis, J.: Training of Coarticulation Models using Dominance Functions and Visual Unit Selection Methods for Audio-Visual Speech Synthesis. In: Proceedings of INTERSPEECH 2006 - ICSLP, Bonn (2006)

    Google Scholar 

  7. Krňoul, Z., Železný, M.: Realistic Face Animation for a Czech Talking Head. In: Proceedings of 7th International Conference on TEXT, SPEECH and DIALOGUE TSD 2004, Springer, Heidelberg (2004)

    Google Scholar 

  8. Langer, J., et al.: Znaková zásoba českého znakového jazyka. Palacký University Olomouc (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Andrei Popescu-Belis Steve Renals Hervé Bourlard

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Krňoul, Z., Kanis, J., Železný, M., Müller, L. (2008). Czech Text-to-Sign Speech Synthesizer. In: Popescu-Belis, A., Renals, S., Bourlard, H. (eds) Machine Learning for Multimodal Interaction. MLMI 2007. Lecture Notes in Computer Science, vol 4892. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78155-4_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-78155-4_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78154-7

  • Online ISBN: 978-3-540-78155-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics