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Energy bands and spectral cues for Arabic vowels recognition

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Abstract

The present study examines the short and long Arabic vowels (/a/, /a:/, /i/, /i:/, /u/ and /u:/) with a new approach based on three methods: formant frequencies extraction, spectral moments and energy bands. Among Arabic language characteristics compared to other languages are long vowels which can be pronounced with different duration length. The formant frequencies are the most exploited in characterizing vowels in different languages nevertheless using only formants was not very significant for vowels identification especially when production duration augments. Therefore, our approach is to broaden previous studies and present new tools in order to characterize long vowels compared to short ones.

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Authors and Affiliations

  1. IMII Laboratory, Faculty of Sciences & Technics, University Hassan First, Settat, Morocco

    Karim Tahiry & Abdelmajid Farchi

  2. IMII Laboratory Graduate School of Technology, University Cadi Ayyad, Safi, Morocco

    Badia Mounir & Ilham Mounir

Authors
  1. Karim Tahiry
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  2. Badia Mounir
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  3. Ilham Mounir
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  4. Abdelmajid Farchi
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Correspondence to Karim Tahiry.

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Tahiry, K., Mounir, B., Mounir, I. et al. Energy bands and spectral cues for Arabic vowels recognition. Int J Speech Technol 19, 707–716 (2016). https://doi.org/10.1007/s10772-016-9363-3

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  • DOI: https://doi.org/10.1007/s10772-016-9363-3

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