Abstract
The development of Multilingual Automatic Speech Recognition (ASR) systems involves Acoustic Phonetic Decoding, Language Modeling, Language Identification and the development of appropriated Language Resources. Only a small number of languages possess the resources required for these developments, the remaining languages are under-resourced. In this paper we explore robust strategies of Soft Computing in the selection of sub-word units oriented to under-resourced languages for ASR in the Basque context. Three languages are analyzed: French, Spanish and the minority one, Basque language. The proposed methodology is based on approaches of Discriminant and Principal Components Analysis, robust covariance matrix estimation methods, Support Vector Machines (SVM), Hidden Markov Models (HMMs) and cross-lingual strategies. New methods improve considerably the accuracy rate obtained on incomplete, small sample sets, providing an excellent tool to manage these kinds of languages.
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
Lee, C.H.: Improved acoustic modeling for speaker independent large vocabulary continuous speech recognition. In: ICASSP 1991, pp. 161–164 (1991)
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)
Vandecatseye, A., et al.: The COST278 pan-European Broadcast News Database. In: Proceedings, LREC, Lisbon (2004)
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., Gilisagastin, López de Ipiña, K., López, A., López, J.: Development of Multimodal Resources for Multilingual Information Retrieval in the Basque context. In: Interspeech Antwerp, Belgium (2007)
Schultz, T., Kirchhoff, N.: Multilingual Speech Processing. Elsevier, Amsterdam (2006)
Schultz, T., Waibel, A.: Multilingual and Crosslingual Speech Recognition. In: Proceedings of the DARPA BC. Workshop (1998)
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)
Cosi, P.: Hybrid HMM-NN architectures for connected digit recognition. In: Proc. of the IJC on Neural Networks, vol. 5 (2000)
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.: Classification of high dimensional data with limited training samples. Technical Report TRECE 98-8. School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana (1998)
Tadjudin, S., Landgrebe, D.: Covariance Estimation with Limited Training Samples. IEEE Transaction on Geoscience and Remote Sensing 37, 102–120 (2000)
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)
Toledano, D., Moreno, A., Colás, J., Garrido, J.: Acoustic-phonetic decoding of different types of spontaneous speech in Spanish. In: DSS 2005, Aix-en-Provence, France (2005)
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., Graña, M., Hernandez, C. (2011). Experiments for the Selection of Sub-Word Units in the Basque Context. 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_52
Download citation
DOI: https://doi.org/10.1007/978-3-642-19644-7_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19643-0
Online ISBN: 978-3-642-19644-7
eBook Packages: EngineeringEngineering (R0)