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Arabic and English speech recognition using cross-language acoustic models., , , and . ISSPA, page 40-44. IEEE, (2012)Preliminary Arabic speech emotion classification., , and . ISSPIT, page 179-182. IEEE Computer Society, (2014)Correction to: Revisiting distinctive phonetic features from applied computing perspective: unifying views and analyzing modern Arabic speech varieties., , , , and . Int. J. Speech Technol., 21 (4): 1005 (2018)Revisiting distinctive phonetic features from applied computing perspective: unifying views and analyzing modern Arabic speech varieties., , , , and . Int. J. Speech Technol., 21 (4): 907-913 (2018)Investigating Arabic Speakers' Emotions Using Speech Rhythm Metrics., , and . EMS, page 73-77. IEEE, (2017)Arabic speaker emotion classification using rhythm metrics and neural networks., , and . EUSIPCO, page 1426-1430. IEEE, (2015)Speech Emotion Recognition using Convolutional Recurrent Neural Networks and Spectrograms., , , , , and . CCECE, page 1-5. IEEE, (2020)A Comparative Study of Different Speech Features for Arabic Phonemes Classification., , and . EMS, page 47-52. IEEE, (2016)Duration modeling in automatic recited speech recognition., , , and . TSP, page 323-326. IEEE, (2016)Reintroducing KAPD as a Dataset for Machine Learning and Data Mining Applications., , , and . EMS, page 70-74. IEEE, (2016)