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Experiments on ANN Based ASR Systems Using Limited Arabic Vocabulary

  • Conference paper
Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 87))

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Abstract

In this paper we investigated Artificial Neural Networks (ANN) based Automatic Speech Recognition (ASR) by using limited Arabic vocabulary corpora. These limited Arabic vocabulary subsets are digits and vowels carried by specific carrier words. In addition to this, Hidden Markov Model (HMM) based ASR systems are designed and compared to ANN based systems by using the same corpora. All systems are isolated word speech recognizers. The ANN based recognition system achieved 99.5% correct digit recognition. On the other hand, the HMM based recognition system achieved 98.1% correct digit recognition. With vowels carrier words, the ANN based recognition system achieved 92.13% correct vowel recognition; but the HMM based recognition system achieved 91.6% correct vowel recognition.

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Author information

Authors and Affiliations

  1. Computer Engineering Dept., College of Computer & Information Sciences, King Saud University, P.O. Box 57168, Riyadh, 11574, Saudi Arabia

    Yousef Ajami Alotaibi

Authors
  1. Yousef Ajami Alotaibi
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Editor information

Editors and Affiliations

  1. Universidad de Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Emilio Corchado

  2. VÅ B-TU Ostrava, 17. listopadu 15, 70833, Ostrava, Czech Republic

    Václav Snášel

  3. University of Burgos, Avenida Cantaria S/N, 09006, Burgos, Spain

    Javier Sedano

  4. Cairo University, 5 Ahmed Zewal St., Orman, Cairo, Egypt

    Aboul Ella Hassanien

  5. University of La Coruña, Avda. 19 de Febrero, S/N, A Coruña,, 15403, Ferrol, Spain

    José Luis Calvo

  6. Infobright, 47 Colborne Street, Suite 403, M5E1P8, Toronto, Ontario, Canada

    Dominik Ślȩzak

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© 2011 Springer-Verlag Berlin Heidelberg

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Alotaibi, Y.A. (2011). Experiments on ANN Based ASR Systems Using Limited Arabic Vocabulary. 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_48

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  • DOI: https://doi.org/10.1007/978-3-642-19644-7_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19643-0

  • Online ISBN: 978-3-642-19644-7

  • eBook Packages: EngineeringEngineering (R0)

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