Skip to main content

Speech and Language Resources within Speech Recognition and Synthesis Systems for Serbian and Kindred South Slavic Languages

  • Conference paper
Speech and Computer (SPECOM 2013)

Abstract

Unlike other new technologies, most speech technologies are heavily language dependent and have to be developed separately for each language. The paper gives a detailed description of speech and language resources for Serbian and kindred South Slavic languages developed during the last decade within joint projects of the Faculty of Technical Sciences, Novi Sad, Serbia and the company “AlfaNum”. It points out the advantages of simultaneous development of speech synthesis and recognition as complementary speech technologies, and discusses the possibility of reuse of speech and language resources across kindred languages.

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. Vitas, D., Popović, L., Krstev, C., Obradović, I., Pavlović-Lažetić, G., Stanojević, M.: The Serbian language in the digital age. White paper series. Springer (2012)

    Google Scholar 

  2. Brill, E.: Transformation-based error-driven learning and natural language processing: A case study in part-of-speech tagging. Comput. Linguist. 21(4), 543–566 (1995)

    Google Scholar 

  3. Merialdo, B.: Tagging English text with a probabilistic model. Comput. Linguist. 20, 155–172 (1994)

    Google Scholar 

  4. Obradović, R., Pekar, D.: C++ library for signal processing – SLIB. In: Digital Signal and Image Processing Conference DOGS, Novi Sad, Serbia (2000)

    Google Scholar 

  5. Pakoci, E., Mak, R.: HMM-based speech synthesis for the Serbian language. In: 56th ETRAN, Zlatibor, Serbia, vol. TE4, pp. 1–4 (2012)

    Google Scholar 

  6. Sečujski, M., Obradović, R., Pekar, D., Jovanov, L., Delić, V.: AlfaNum system for speech synthesis in Serbian language. In: Sojka, P., Kopeček, I., Pala, K. (eds.) TSD 2002. LNCS (LNAI), vol. 2448, pp. 237–244. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  7. Sečujski, M.: Obtaining prosodic information from text in Serbian language. In: EUROCON, Belgrade, Serbia, pp. 1654–1657 (2005)

    Google Scholar 

  8. Sečujski, M.: Automatic part-of-speech tagging in Serbian. PhD thesis, University of Novi Sad, Serbia (2009)

    Google Scholar 

  9. Sečujski, M., Jakovljević, N., Pekar, D.: Automatic prosody generation for Serbo-Croatian speech synthesis based on regression trees. In: Interspeech 2011, Florence, Italy, pp. 3157–3160 (2011)

    Google Scholar 

  10. Ostrogonac, S., Popović, B., Sečujski, M., Mak, R., Pekar, D.: Language model reduction for practical implementation in LVCSR systems. In: Infoteh, Jahorina, Bosnia and Herzegovina (accepted for publication, 2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer International Publishing Switzerland

About this paper

Cite this paper

Delić, V. et al. (2013). Speech and Language Resources within Speech Recognition and Synthesis Systems for Serbian and Kindred South Slavic Languages. In: Železný, M., Habernal, I., Ronzhin, A. (eds) Speech and Computer. SPECOM 2013. Lecture Notes in Computer Science(), vol 8113. Springer, Cham. https://doi.org/10.1007/978-3-319-01931-4_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-01931-4_42

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01930-7

  • Online ISBN: 978-3-319-01931-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics