Speech Emotion Recognition in Arabic Language: A Review
Houari Horkous · Vietnam Journal of Computer Science · 2025
Nowadays, interpreting human emotions through speech has attracted great attention in human–computer interaction and artificial intelligence. Speech emotion recognition (SER) systems have become a significant field of research. SER is one of the interesting directions in speech processing, is to predict the expressed emotional state. SER systems encounter numerous challenges, such as the availability of appropriate emotional databases, the identification of suitable speech features, and the choice of the appropriate classification method. SER systems are mostly implemented in English, French, German, Indian, and Chinese languages. However, SER for the Arabic language is still in the growing phase. In this work, a literature review on the SER in Arabic has been presented in terms of emotional databases, speech features, and classification algorithms. This review contributes to filling the gap in the works on emotion recognition available in the Arabic language and constitutes a valuable resource for researchers in this field.