CNN-Transformer hybrid reaches 98.1% accuracy on Arabic SER using EYASE and BAVED datasets, outperforming CNN-LSTM and fine-tuned wav2vec 2.0.
Advancing Egyptian Arabic speech emotion recognition: Insights from 2D representations and model evaluations,
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Towards Robust Arabic Speech Emotion Recognition with Deep Learning
CNN-Transformer hybrid reaches 98.1% accuracy on Arabic SER using EYASE and BAVED datasets, outperforming CNN-LSTM and fine-tuned wav2vec 2.0.