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Arabic Vowels Recognition Using Envelope’s Energy and Artificial Neural Network

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The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023 (AICV 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 164))

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Abstract

In recent years, speech recognition and enhancement have grown in importance. Similarly, the modulation domain has gained attention in speech applications because that provides a more compact representation. Motivated by the development in the modulation domain and speech recognition. This paper aims to identify Arabic vowels using the energy contained in the envelopes based on the artificial neural network. In this work, the network was tested with a single hidden layer. As a result of the comparison with four neural network architectures, the results of the proposed network architecture have been analyzed and discussed. The proposed approach based on the energy of the envelope shows reliable results and works well with the artificial neural network.

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Author information

Authors and Affiliations

  1. IMII Laboratory, Faculty of Sciences and Technics, Settat, Morocco

    Nesrine Abajaddi, Youssef Elfahm & Abdelmajid Farchi

  2. LAPSSII Laboratory, High School of Technology, Safi, Morocco

    Badia Mounir

Authors
  1. Nesrine Abajaddi
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  2. Youssef Elfahm
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  3. Badia Mounir
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  4. Abdelmajid Farchi
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Corresponding author

Correspondence to Nesrine Abajaddi .

Editor information

Editors and Affiliations

  1. Faculty of Computer and AI, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Sciences and Techniques, Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  3. College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia

    Ahmad Taher Azar

  4. Department of Computer Science, University of South Dakota, Vermillion, SD, USA

    KC Santosh

  5. Vardhaman College of Engineering, Hyderabad, Telangana, India

    M. A. Jabbar

  6. Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland

    Adam Słowik

  7. Department of Computer Science, Avinashilingam University for Women, Coimbatore, Tamil Nadu, India

    Parthasarathy Subashini

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Abajaddi, N., Elfahm, Y., Mounir, B., Farchi, A. (2023). Arabic Vowels Recognition Using Envelope’s Energy and Artificial Neural Network. In: Hassanien, A.E., et al. The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023. AICV 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-031-27762-7_15

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