Advertisement

Study on Cross-Lingual Adaptation of a Czech LVCSR System towards Slovak

  • Petr Cerva
  • Jan Nouza
  • Jan Silovsky
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6800)

Abstract

This paper deals with cross-lingual adaptation of a Large Vocabulary Continuous Speech Recognition (LVCSR) system between two similar Slavic languages – from Czech to Slovak. The proposed adaptation scheme is performed in two consecutive phases and it is focused on acoustic modeling and phoneme and pronunciation mapping. It also utilizes language similarities between the source and the target language and speaker adaptation approaches. Presented experimental results show that the proposed cross-lingual adaptation approach yields to reduction of Word Error Rate (WER) from 12.8 % to 8.1 % in the voice dictation task.

Keywords

speech recognition cross-lingual adaptation speaker adaptation Slavic languages 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Nouza, J., Zdansky, J., Cerva, P., Kolorenc, J.: Continual On-line Monitoring of Czech Spoken Broadcast Programs. In: Proceedings of International Conference on Spoken Language Processing (ICSLP) 2006, Pittsburgh, USA, pp. 1650–1653 (September 2006)Google Scholar
  2. 2.
    Bayeh, R., Lin, S., Chollet, G., Mokbel, C.: Towards multilingual speech recognition using data driven source/target acoustical units association. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2004, Montreal, Quebec, Canada, pp. 521–524 (2004)Google Scholar
  3. 3.
    Lin, H., Deng, L., Yu, D., Gong, Y., Acero, A., Lee, C.H.: A study on multilingual acoustic modeling for large vocabulary ASR. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2009, Taipei, Taiwan, pp. 4333–4336 (2009)Google Scholar
  4. 4.
  5. 5.
    Kral, A., Sabol, J.: Phonetics and Phonology. SPN, Bratislava (1989) (in Slovak)Google Scholar
  6. 6.
    Ivanecky, J.: Automatic speech transcription and segmentation. PhD thesis, Košice (2003) (in Slovak)Google Scholar
  7. 7.
    Gauvain, J.L., Lee, C.H.: Maximum A Posteriori Estimation for Multivariate Gaussian Mixture Observations of Markov Chains. IEEE Transactions on Speech and Audio Processing 2, 291–298 (1994)CrossRefGoogle Scholar
  8. 8.
    Gales, M.J.F., Woodland, P.C.: Mean and Variance Adaptation Within the MLLR Framework. Computer Speech and Language 10, 249–264 (1996)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Petr Cerva
    • 1
  • Jan Nouza
    • 1
  • Jan Silovsky
    • 1
  1. 1.Institute of Information Technology and Electronics, Faculty of MechatronicsTechnical University of LiberecLiberecCzech Republic

Personalised recommendations