Phonics Exercise Audio Dataset

The Phonics Exercise Audio Dataset is a custom-built audio corpus developed to support speech-based learning and pronunciation correction. It currently consists of 198 audio samples that represent correct and incorrect pronunciations of Arabic letters from "أ" to "ت". These samples are recorded in a standardized format to support consistent feature extraction and model training. The dataset enables the development of phoneme classification systems aimed at improving auditory discrimination skills in dyslexic learners. Ongoing data collection efforts seek to expand this resource to include more letters and speakers, increasing the system’s effectiveness in varied learning contexts.

语音练习音频数据集（Phonics Exercise Audio Dataset）是一款定制开发的语音语料库，旨在为语音学习与发音矫正提供支撑。目前该数据集包含198条音频样本，涵盖阿拉伯字母从“أ”至“ت”的正确与错误发音。所有样本均采用标准化格式录制，可保障特征提取与模型训练的一致性。本数据集可用于开发音素分类系统，以改善诵读困难学习者的听觉辨别能力。当前项目仍在持续推进数据采集工作，计划扩充该数据集以覆盖更多字母与发音者，进而提升系统在多样化学习场景中的适配效能。