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  Published Paper Details:

  Paper Title

AN AUTOMATED EMOTION RECOGNITION FROM ARABIC SPEECH USING MACHINE LEARNING TECHNIQUE

  Authors

  Wegdan Gima Salim Al Fadahli,  Reham Khalifa Sulaiman Al Hinai,  Sherimon P.C.,  Vinu Sherimon,  Remya Revi

  Keywords

Intelligent system, Speech recognition, Arabic speech, customer service, machine learning

  Abstract


An intelligence system is developed to recognize emotions of customers from Arabic speech with help of supervised machine learning method. The proposed system uses Cubic-Support Vector Machine classifier to recognize three emotions such as Happy, Angry, and Surprised from an Arabic speech. Publicly available benchmarked Arabic Natural Audio Dataset is employed for the experimental analysis. The classification model performed well with a good value of precision, recall and F1-score.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2210048

  Paper ID - 225936

  Page Number(s) - a435-a438

  Pubished in - Volume 10 | Issue 10 | October 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Wegdan Gima Salim Al Fadahli,  Reham Khalifa Sulaiman Al Hinai,  Sherimon P.C.,  Vinu Sherimon,  Remya Revi,   "AN AUTOMATED EMOTION RECOGNITION FROM ARABIC SPEECH USING MACHINE LEARNING TECHNIQUE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 10, pp.a435-a438, October 2022, Available at :http://www.ijcrt.org/papers/IJCRT2210048.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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