Publisher
Springer Science and Business Media LLC
Reference67 articles.
1. Abdel-Hamid, L. (2020). Egyptian Arabic speech emotion recognition using prosodic, spectral and wavelet features. Speech Communication, 122, 19–30.
2. Abdel-Hamid, L., Shaker, N. H., & Emara, I. (2020). Analysis of linguistic and prosodic features of bilingual Arabic–English speakers for speech emotion recognition. IEEE Access, 8, 72957–72970.
3. Agrima, A., Mounir, I., Farchi, A., ElMazouzi, L., & Mounir, B. (2022). Emotion recognition based on the energy distribution of plosive syllables. International Journal of Electrical and Computer Engineering, 12(6), 6159.
4. Akçay, M. B., & Oğuz, K. (2020). Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers. Speech Communication, 116, 56–76.
5. Alamri, H. & Alshanbari, H. (2023). Emotion recognition in Arabic speech from Saudi dialect corpus using machine learning and deep learning algorithms.