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Arabic speaker emotion classification using rhythm metrics and neural networks.

, , and . EUSIPCO, page 1426-1430. IEEE, (2015)

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Mapping Arabic acoustic parameters to their articulatory features using neural networks., and . SP/SPE, page 409-414. IEEE, (2015)Comparative evaluation of two arabic speech corpora., and . NLPKE, page 1-5. IEEE, (2010)Analyzing vowel triangles in spoken Arabic dialects., and . ISSPIT, page 1-6. IEEE, (2018)An Acoustic Analysis and Comparison of Two Unique and Almost Identical Arabic Emphatic Phonemes., , , , and . EMS, page 84-88. IEEE, (2017)Experiments on ANN Based ASR Systems Using Limited Arabic Vocabulary.. SOCO, volume 87 of Advances in Intelligent and Soft Computing, page 453-463. Springer, (2011)Classification of the Neural Correlates of Mind Wandering States in EEG Signals., , , , and . TSP, page 126-129. IEEE, (2021)Dementia Detection from Speech Using Machine Learning and Deep Learning Architectures., , , , , , , and . Sensors, 22 (23): 9311 (2022)Speech Emotion Recognition using Convolutional Recurrent Neural Networks and Spectrograms., , , , , and . CCECE, page 1-5. IEEE, (2020)King Saud University Emotions Corpus: Construction, Analysis, Evaluation, and Comparison., , , , and . IEEE Access, (2021)Digital Audio Forensics: Microphone and Environment Classification Using Deep Learning., , , , and . IEEE Access, (2021)