Advertisement

International Journal of Speech Technology

, Volume 15, Issue 1, pp 33–40 | Cite as

Semantic speech recognition in the Basque context Part I: cross-lingual approaches

  • Nora Barroso
  • Karmele López de Ipiña
  • Odei Barroso
  • Aitzol Ezeiza
  • Carmen Hernández
  • Manuel Graña
Article
  • 104 Downloads

Abstract

This work, divided into Part I and II, describes the development of GorUP a Semantic Speech Recognition System in the Basque context. Part I analyses cross-lingual approaches oriented to under-resourced languages and Part II the development of the Language Identification system. During the development, data optimization methods and Soft Computing methodologies oriented to complex environment are used in order to overcome the lack of resources. Moreover, in this context three languages coexist: French, Spanish and Basque. Indeed our main goal is the development of robust Automatic Speech Recognition (ASR) systems for Basque, but all language variability has to be analyzed. In this regard, Basque speakers mix during the speech not only sounds but also words of the three languages which results in a strong presence of cross-lingual elements. Besides, Basque is an agglutinative language with a special morpho-syntactic structure inside the words that may lead to intractable vocabularies. Nowadays, our work is oriented to Information Retrieval and mainly to small internet mass-media. In these cases the available resources for Basque in general, and for this task in particular, are very few and complex to process because of the noisy environment. Thus, the methods employed in this development (ontology-based approach or cross-lingual methodologies oriented to profit from more powerful languages) could suit the requirements of many under-resourced languages.

Keywords

Cross-lingual approach Under-resourced languages Graphemes Data optimization Semantic tasks 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ambikairajah, L., & Choi, E. (2005). Robust language identification based on fused phonotactic information with MLKSFM ICME. In IEEE international conference on pre-classifier, multimedia and expo. Google Scholar
  2. Barroso, N., Ezeiza, A., Gilisagasti, N., Lopez de Ipiña, K., López, A., & López, J. M. (2007). Development of multimodal resources for multilingual information retrieval in the Basque context. In Proc. of Interspeech, Antwerp, Belgium. Google Scholar
  3. Barroso, N., López de Ipiña, K., Ezeiza, A., Hernández, C., Ezeiza, N., Barroso, O., Susperregi, U., & Barroso, S. (2011). GorUp: an ontology-driven audio information retrieval system that suits the requirements of under-resourced languages. In INTERSPEECH, Florence, Italy. Google Scholar
  4. Kanthak, S., & Ney, H. (2002). Context dependent acoustic modelling using graphemes for large vocabulary speech recognition. In ICASSP, Orlando, FL (pp. 845–848). Google Scholar
  5. Le, V. B., & Besacier, L. (2009). Automatic speech recognition for under-resourced languages: application to Vietnamese language. IEEE Transactions on Audio, Speech, and Language Processing, 17(8), 1471–1482. CrossRefGoogle Scholar
  6. Lopez de Ipiña, K., Graña, M., Ezeiza, N., Hernández, M., Zulueta, E., Ezeiza, A., & Tovar, C. (2003). Selection of lexical units for CSR of Basque. In LNCS. Progress in pattern recognition, speech and image analysis (pp. 244–250). Berlin: Springer. CrossRefGoogle Scholar
  7. Schultz, T., & Kirchhoff, N. (2006). Multilingual speech processing. Elsevier: Amsterdam. Google Scholar
  8. Schultz, T., & Waibel, A. (1998). Multilingual and crosslingual speech recognition. In Proceedings of the DARPA broadcast news. Workshop. Google Scholar
  9. Seng, S., Sam, S., Le, V. B., Bigi, B., & Besacier, L. (2008). Which units for acoustic and language modelling for Khmer automatic speech recognition. In 1st international conference on spoken language processing for under-resourced languages, Hanoi, Vietnam. Google Scholar
  10. Toledano, D., Moreno, A., Colás, J., & Garrido, J. (2005). Acoustic-phonetic decoding of different types of spontaneous speech in Spanish. In Disfluencies in spontaneous speech 2005, Aix-en-Provence, France. Google Scholar
  11. Vandecatseye, A., et al. (2004). The COST278 pan-European broadcast news database. In Proceedings of LREC 2004, Lisbon, Portugal. Google Scholar
  12. Wheatley, B., Kondo, K., Anderson, W., & Muthusamy, Y. (1994). An evaluation of cross-language adaptation for rapid HMM development in a new language. In ICASSP, Adelaide (pp. 237–240). Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Nora Barroso
    • 1
  • Karmele López de Ipiña
    • 2
  • Odei Barroso
    • 1
  • Aitzol Ezeiza
    • 2
  • Carmen Hernández
    • 2
  • Manuel Graña
    • 2
  1. 1.Irunweb EnterpriseIrunSpain
  2. 2.Grupo de Inteligencia ComputacionalUniversity of the Basque Country UPV/EHUDonostiaSpain

Personalised recommendations