Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Balkan Region Conference on Engineering and Business Education

1 Issue per year

Open Access
Online
ISSN
2391-8160
See all formats and pricing
More options …

Test Of Vowels In Speech Recognition Using Continuous Density Hidden Markov Model And Development Of Phonetically Balanced-Words In The Filipino Language

Arnel C. Fajardo / Yoon-joong Kim
Published Online: 2014-08-15 | DOI: https://doi.org/10.2478/cplbu-2014-0092

Abstract

An Automatic Speech Recognition (ASR) converts the speech signals into words. The recognized words can be the final output or it can be an input for a natural language processing. In this paper, vowel recognizer using Continuous density HMM and Mel-Frequency Cepstral Coefficient (MFCC) were used for feature extraction for its development, and phonetically balanced words (PBW) in Filipino were developed. Thus, this study is a preparation for Filipino Language ASR using HMM. For vowel recognizer, forty speakers were trained (20 male and 20 female speakers). An average accuracy rate of 94.5% was achieved for speaker-dependent test and 90.8% for speaker independent test. For PBW, 2 word lists were developed consisting of 257 words for the 2-syllable Filipino PBW word list and 212 words for the 3-syllable Filipino PBW word list.

Key words:: Continuous Density Hidden Markov Model; Filipino Vowels and Phonemes; Phonetically Balanced Words

REFERENCES

  • 1. Navaro, R. D., Recognition of Tagalog Alphabets Using The Hidden Markov Model, (2007).Google Scholar

  • 2. Guevara, R., Co, M., Espina, E., Gracia, I., Tan, E., Ensomo, R., and Sagum, R., Development of a Filipino speech corpus, (2002).Google Scholar

  • 3. Rabiner, L. R. and Juang, B. H., Fundamentals of Speech Recognition, Englewood Cliffs, NJ, Prentice Hall, (1993).Google Scholar

  • 4. Kumar, K., Hindi Speech Recognition System using HTK, International Journal of Computing and Business Research (Vol 2, Issue 2), (2011).Google Scholar

  • 5. Sakti S., Isotani, R., Kawai H., and Nakamura, S., The Use of Indonesian Speech Corpora for Developing a Filipino Continuous Speech Recognition System, (2010).Google Scholar

  • 6. http://wika.pbworks.com/w/page/8021671/Kasaysayan, “Ebolusyong ng Alpabetong Filipino”, (Retrieved 2012).Google Scholar

  • 7. Lewis, P. M., Languages of Philippines. Ethnologue: Languages of the World (16th ed.), (2009).Google Scholar

  • 8. Santiago, A., Tiangco, N., Makabagong Balarilang Pilipino, (1985).Google Scholar

  • 9. Ferrer O., Speech audiometry: a discrimination test for Spanish language, (1960).PubMedGoogle Scholar

  • 10. Rosas y De Mendizabal B., Speech Audiometry in English, Portuguese and Spanish, (1958).Google Scholar

  • 11. Philippine Census, 2000. Table 11. Household Population by Ethnicity, Sex and Region: 2000, (2000).Google Scholar

  • 12. Sagon, R., The development of a phonetically balanced word recognition test in the Ilocano language, (2006).Google Scholar

  • 13. Travero, K., UP Diksyonaryong Filipino, 1st Edition, UP Publishing Press, Quezon City, (2001).Google Scholar

About the article

Published Online: 2014-08-15


Citation Information: Balkan Region Conference on Engineering and Business Education, Volume 1, Issue 1, Pages 531–536, ISSN (Online) 1843-6730, DOI: https://doi.org/10.2478/cplbu-2014-0092.

Export Citation

© 2014 Quality Research Centre, Lucian Blaga University. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

Comments (0)

Please log in or register to comment.
Log in