Advertisement

Speaker Dependent ASRs for Huastec and Western-Huastec Náhuatl Languages

  • Juan A. Nolazco-Flores
  • Luis R. Salgado-Garza
  • Marco Peña-Díaz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3523)

Abstract

The purpose of this work is to show the results obtained when the latest technological advances in the area of Automatic Speech Recognition (ASR) are applied to the Western-Huastec Náhuatl and Huastec languages. Western-Huastec Náhuatl and Huastec are not only native (indigenous) languages in México, but also minority languages, and people who speak these languages usually are analphabetic. A speech database was created by recording the voice of native speaker when reading a set of documents used for native bilingual primary school in the official mexican state education system. A pronunciation dictionary was created for each language. A continuous Hidden Markov Models (HMM) were used for acoustical modeling, and bigrams were used for language Modeling. A Viterbi decoder was used for recognition. The word error rate of this task is below 8.621% for Western-Huastec Náhuatl language and 10.154% for Huastec language.

Keywords

Automatic Speech Recognition Minority Language Speech Recognition System Word Error Rate Automatic Speech Recognition System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
  2. 2.
  3. 3.
    Constitución Política de los Estados Unidos Mexicanos Google Scholar
  4. 4.
    Plan y Programa de Estudio para la Educación Primaria, SEP, México (1993) Google Scholar
  5. 5.
    Sullivan, T.O.: Compendio de la Gramática Náhuatl, Ejercicios, UNAM, Instituto de Investigaciones Históricas, Second Edition (1992) Google Scholar
  6. 6.
    Canales Juarez, G., Mendez González, R., Hernández Miranda, J., Roque Cerroblanco, E.: Nauatlajtoli tlen uaxtekapaj tlali, Lengua náhuatl, Region Huasteca, Hidalgo. In: Third and fourth grade, SEP (1993) Google Scholar
  7. 7.
  8. 8.
    Deller, J.R., Proakis, J.G., Hansen, J.H.L.: Discrete-Time Processing of Speech Signals. Prentice Hall, Sec. 6.2 (1993)Google Scholar
  9. 9.
    Clarkson, P., Rosenfeld, R.: Statistical Language Modelling using the CMUCambridge Toolkit. In: Proceedings of Eurospeech, Rodhes, Greece, pp. 2707–2710 (1997)Google Scholar
  10. 10.
    Varela, A., Cuayáhuitl, H., Nolazco-Flores, J.A.: Creating a Mexican Spanish Version of the CMU SPHINX-III Speech Recognition System. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds.) CIARP 2003. LNCS, vol. 2905, pp. 251–258. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  11. 11.
    Salgado-Garza, L.R., Stern, R., Nolazco, J.A.: N-Best List Rescoring using Syntactic Trigrams. In: Monroy, R., Arroyo-Figueroa, G., Sucar, L.E., Sossa, H. (eds.) MICAI 2004. LNCS (LNAI), vol. 2972, pp. 79–88. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  12. 12.
    Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelehood for incomplete data via the EM algorithm. J. Roy. Stat. Soc. 39(1), 1–38 (1977)zbMATHMathSciNetGoogle Scholar
  13. 13.
    Huerta, J.M., Chen, S., Stern, R.M.: The 1998 CMU SPHINX-3 Broadcast News Transcription System. In: Darpa Broadcast News Workshop (1999)Google Scholar
  14. 14.
    Dryer, M.S.: Large Linguistic areas and lang. samp. Studies in Language 13, 257–292 (1996)CrossRefGoogle Scholar
  15. 15.
    Meso-American Indian Languages. Encyclopedia Britannica. 2004. Encyclopedia Britannica Online (May 14, 2004), http://0-search.eb.com.millenium.itesm.mx:80/eb/article?eu=118158
  16. 16.
    Grossner-Lerner, E.: Los tenek de San Luis Potosi, INAH (1991)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Juan A. Nolazco-Flores
    • 1
  • Luis R. Salgado-Garza
    • 1
  • Marco Peña-Díaz
    • 1
  1. 1.Departamento de Ciencias ComputacionalesITESM, Campus MonterreyMonterreyMéxico

Personalised recommendations