Skip to main content
SpringerLink
Log in

Large Vocabulary Speech Recognition of Slovenian Language Using Data-Driven Morphological Models

  • Conference paper
  • First Online:
Book cover Text, Speech and Dialogue (TSD 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2448))

Included in the following conference series:

Abstract

A system for large vocabulary continuous speech recognition of the Slovenian language is described. Two types of modelling units are examined: words and subwords. A data-driven algorithm is used to automatically obtain word decompositions. The performances of one-pass and two-pass decoding strategies were compared. The new models gave promising results. Recognition accuracy was improved by 3.41% absolute at approx. the same recognition time. On the other hand we achieved 30% increase in real time performance at the same recognition error.

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

Access this chapter

Log in via an institution
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. Kačič, Z., Horvat, B., Zögling, A.: Isues in design and collection of large telephone speech corpus for Slovenian language, LREC 2000.

    Google Scholar 

  2. Young, S., Odell, J., Ollason, D., Kershaw, D., Valtcheva, V., Woodland, P.: The HTK Book, Entropic Inc., 2000.

    Google Scholar 

  3. Zhao, J., Hamaker, J., Deshmukh, N., Ganapathiraju, A., Picone, J.: Fast Recognition Techniques for Large Vocabulary Speech Recognition, Texas Instruments Incorporated, August 15, 1999.

    Google Scholar 

  4. P. Clarkson, R. Rosenfeld: Statistical language modeling using the CMU-Cambridge toolkit. In: Proceedings of EuroSpeech, 1997.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering and Computer Science, University of Maribor, Smetanova 17, 2000, Maribor, Slovenia

    Tomaž Rotovnik, Mirjam Sepesy Maučec, Bogomir Horvat & Zdravko Kačič

Authors
  1. Tomaž Rotovnik
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mirjam Sepesy Maučec
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Bogomir Horvat
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zdravko Kačič
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

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

    Petr Sojka

  2. Faculty of Informatics Department of Information Technologies, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Ivan Kopeček  & Karel Pala  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rotovnik, T., Maučec, M.S., Horvat, B., Kačič, Z. (2002). Large Vocabulary Speech Recognition of Slovenian Language Using Data-Driven Morphological Models. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2002. Lecture Notes in Computer Science(), vol 2448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46154-X_46

Download citation

  • DOI: https://doi.org/10.1007/3-540-46154-X_46

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44129-8

  • Online ISBN: 978-3-540-46154-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation