Skip to main content

Use of Hidden Markov Models for Evaluation of Russian Digits Pronunciation by the Foreigners

  • Conference paper
  • First Online:
Text, Speech and Dialogue (TSD 1999)

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

Included in the following conference series:

  • 474 Accesses

Abstract

In this paper the use of Hidden Markov Models for the evaluation of the Russian words pronunciation by the foreigners is considered. The average distortion of the codebook and the likelihood of the discrete variable duration Hidden Markov Model are used. Such model allow to take into account the temporary characteristics of a speech signal, which are very important for the evaluation of pronunciation. The results for ten Russian digits are reported.

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. Hiller, S., Rooney, E., Laver, J., Jack, M.: SPELL: SPELL: An Automated System for Computer-Aided Pronunciation Teaching. Speech Communication, 13 (1993).

    Google Scholar 

  2. Kawai, G., Hirose, K.: A CALL System Using Speech Recognition to Train the Pronunciation of Japanese Long Vowels, the Mora Nasal and Mora Obstruents. In Proceedings of EUROSPEECH’97, Greece (1997).

    Google Scholar 

  3. Najmi, A., Bernstein, J.: Speech Recognition in a System for Teaching Japanese. Journal of the Acoustical Society of America, Vol. 100, No. 4 (1996).

    Google Scholar 

  4. Ehsani, F., Bernstein, J., Najmi, A., Todic, O.: SUBARASHI: Japanese Interactive Spoken Language Education. In Proceedings of EUROSPEECH’97, Greece (1997).

    Google Scholar 

  5. Dikareva, S., Kosarev, Y., Machovikov, A., Machovikova, I.: Speech Dialogue in Learning Systems for Foreign Language. In Proceedings of SPECOM’98, St.-Petersburg, Russia (1998).

    Google Scholar 

  6. Ferguson, J.: Variable Duration Models for Speech. In Proceedings of Symposium on Application of Hidden Markov Models to Text and Speech, Princeton (1980).

    Google Scholar 

  7. Kozlov, Yu., Machovikov, A., Maleev, O.: On the Improvements of Speaker-Independent Isolated Word Recognition. In Proceedings of SPECOM’96, St.-Petersburg, Russia (1996).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Machovikov, A., Machovikova, I. (1999). Use of Hidden Markov Models for Evaluation of Russian Digits Pronunciation by the Foreigners. 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_27

Download citation

  • DOI: https://doi.org/10.1007/3-540-48239-3_27

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66494-9

  • Online ISBN: 978-3-540-48239-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics