[2603.20255] Abjad-Kids: An Arabic Speech Classification Dataset for Primary Education

Computer Science > Computation and Language arXiv:2603.20255 (cs) [Submitted on 11 Mar 2026] Title:Abjad-Kids: An Arabic Speech Classification Dataset for Primary Education Authors:Abdul Aziz Snoubara, Baraa Al_Maradni, Haya Al_Naal, Malek Al_Madrmani, Roaa Jdini, Seedra Zarzour, Khloud Al Jallad View a PDF of the paper titled Abjad-Kids: An Arabic Speech Classification Dataset for Primary Education, by Abdul Aziz Snoubara and 6 other authors View PDF Abstract:Speech-based AI educational applications have gained significant interest in recent years, particularly for children. However, children speech research remains limited due to the lack of publicly available datasets, especially for low-resource languages such as this http URL paper presents Abjad-Kids, an Arabic speech dataset designed for kindergarten and primary education, focusing on fundamental learning of alphabets, numbers, and colors. The dataset consists of 46397 audio samples collected from children aged 3 - 12 years, covering 141 classes. All samples were recorded under controlled specifications to ensure consistency in duration, sampling rate, and format. To address high intra-class similarity among Arabic phonemes and the limited samples per class, we propose a hierarchical audio classification based on CNN-LSTM architectures. Our proposed methodology decomposes alphabet recognition into a two-stage process: an initial grouping classification model followed by specialized classifiers for each group. Both s...