Abstract
This paper discuses preliminary results on acoustic models creation through acoustic models already in existence for another language. In this work we show as case of study, the creation of acoustic models for Mexican Spanish, tagging automatically the training corpus with a recognition system for French. The resulting set of acoustic models for Mexican Spanish has gathered promising results at the phonetic level, reaching a recognition rate of 71.81%.
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
Manning, C., Schütze, H.: Foundation of Statistical Natural Language Processing. MIT Press, Cambridge (2000)
Schultz, T., Waibel, A.: Language independent and language adaptive large vocabulary speech recognition. In: Int. Conf. on Spoken Language Processing, Australia (1998)
Beyerlein, P., Byrne, W., Huerta, J., Khudanpur, S., Marthi, B., Morgan, J., Peterek, N., Picone, J., Wang, W.: Towards language independent acoustic modeling. In: ASRU (1999)
Pineda, L., Cuétara, J., Castellanos, H., López, I., Villaseñor, L.: DIMEx100: A New Phonetic and Speech Corpus for Mexican Spanish. In: Lemaître, C., Reyes, C.A., González, J.A. (eds.) IBERAMIA 2004. LNCS (LNAI), vol. 3315, pp. 948–957. Springer, Heidelberg (2004)
Rogina, I., Waibel, A.: The Janus Speech Recognizer. In: Proceedings of the ARPA SLT workshop (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Villaseñor-Pineda, L., Le, V.B., Montes-y-Gómez, M., Pérez-Coutiño, M. (2005). Toward Acoustic Models for Languages with Limited Linguistic Resources. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30586-6_47
Download citation
DOI: https://doi.org/10.1007/978-3-540-30586-6_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24523-0
Online ISBN: 978-3-540-30586-6
eBook Packages: Computer ScienceComputer Science (R0)