Abstract
Cross-lingual speech recognition could be relevant for Multilingual Automatic Speech Recognition (ASR) systems which work with under-resourced languages and appropriately equipped languages. In the Basque Country, the interest on Multilingual Automatic Speech Recognition systems comes from the fact that there are three official languages in use (Basque, Spanish, and French). Multilingual Basque speakers tend to mix words and sentences in the three languages in their discourse, and there are strong acoustic interactions among languages and among the Basque dialects. Moreover Basque has fewer resources and in order to decrease the negative impact that the lack of resources could generate the alternative surges in the form of cross-lingual alternatives, graphemes and data optimization methods.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Schultz, T., Kirchhoff, N.: Multilingual Speech Processing. Elsevier, Amsterdam (2006)
Schultz, T., Waibel, A.: Multilingual and Crosslingual Speech Recognition. In: Proceedings of the DARPA Broadcast News. Workshop (1998)
Le, V.B., Besacier, L.: Automatic speech recognition for under-resourced languages: application to Vietnamese language. IEEE Transactions on Audio, Speech, and Language Processing 17(8), 1471–1482 (2009)
Seng, S., Sam, S., Le, V.B., Bigi, B., Besacier, L.: Which Units For Acoustic and Language Modeling For Khmer Automatic Speech Recognition. In: 1st International Conference on Spoken Language Processing for Under-resourced languages Hanoi, Vietnam (2008)
López de Ipiña, K., Graña, M., Ezeiza, N., Hernández, M., Zulueta, E., Ezeiza, A., Tovar, C.B.: Selection of lexical units for continuous speech recognition of basque. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds.) CIARP 2003. LNCS, vol. 2905, pp. 244–250. Springer, Heidelberg (2003)
Barroso, N., Ezeiza, A., Gilisagasti, N., Lopez de Ipiña, K., López, A., López, J.M.: Development of Multimodal Resources for Multilingual Information Retrieval in the Basque context. In: Proc. of Interspeech, Antwerp, Belgium (2007)
Vandecatseye, A., et al.: The COST278 pan-European Broadcast News Database. In: Proceedings of LREC 2004, Lisbon (2004)
Toledano, D., Moreno, A., Colás, J., Garrido, J.: Acoustic-phonetic decoding of different types of spontaneous speech in Spanish. In: Disfluencies in Spontaneous Speech 2005, Aix-en-Provence, France (2005)
Kanthak, S., Ney, H.: Context dependent Acoustic Modeling using Graphemes for Large Vocabulary Speech Recognition. In: ICASSP, Orlando, FL, pp. 845–848 (2002)
Wheatley, B., Kondo, K., Anderson, W., Muthusamy, Y.: An evaluation of Cross-Language Adaptation for Rapid HMM Development in a New Language. In: ICASSP, Adelaine, pp. 237–240 (1994)
Padrell, J., Martín-Iglesias, D., Díaz-de-María, F.: Support Vector Machines for Continuous Speech Recognition. In: 14th BSSIPCO, Florence, Italy, September 4-8 (2006)
Ganapathiraju, A., Hmaker, J., Picone, J.: Hybrid SVM/HMM architectures for speech recognition. In: Proc. of the International Conference on Spoken Language Processing, vol. 4, pp. 504–507 (2000)
Smith, N., Gales, M.: Speech recognition using SVMs. In: Advances in Neural Information Processing Systems, vol. 14. MIT Press, Cambridge (2002)
Friedman, J.H.: Regularized discriminant analysis. Journal of the American Statistical Association 84, 165–175 (1989)
Martinez, A., Kak, A.: PCA versus LDA. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(2), 228–233 (2001)
Hoffbeck, J.P., Landgrebe, D.: Covariance estimation and classification with limited training data. IEEE Transactions on Pattern Analysis and Machine Intelligence 18(7), 763–767 (1996)
Tadjudin, S., Landgrebe, D.: Covariance Estimation with Limited Training Samples. IEEE Transaction on Geoscience and Remote Sensing 37 (2000); Appendix: Springer-Author Discount
Ambikairajah, L., Choi, E.: Robust language identification based on fused phonotactic information with MLKSFM ICME. In: IEEE International Conference on pre-classifier, Multimedia and Expo. (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Barroso, N., de Ipiña, K.L., Barroso, O., Graña, M., Ezeiza, A. (2011). Cross-Lingual Approaches: The Basque Case. In: Corchado, E., Snášel, V., Sedano, J., Hassanien, A.E., Calvo, J.L., Ślȩzak, D. (eds) Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011. Advances in Intelligent and Soft Computing, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19644-7_51
Download citation
DOI: https://doi.org/10.1007/978-3-642-19644-7_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19643-0
Online ISBN: 978-3-642-19644-7
eBook Packages: EngineeringEngineering (R0)