Disability is an impairment affecting an individual's livelihood and independence. Assistive technology enables the disabled cohort of the community to break the barriers to learning, access information, contribute to the community, and live independently. This article proposes an assistive device to enable people with visual disabilities and learning disabilities to access printed Arabic material in real-time, and to help them participate in the education system and the professional workforce. This proposed assistive device employs Optical Character Recognition (OCR) and Text To Speech (TTS) conversion, using concatenation synthesis. OCR is achieved using image processing, character extraction, and classification, while Arabic speech synthesis is achieved through concatenation synthesis, followed by Multi Band Re-synthesis Overlap-Add (MBROLA). Waveform generation in the second phase produces vocal output for the disabled user to hear. OCR character and word accuracy tests were conducted for nine Arabic fonts. The results show that six fonts were recognized with over 60% character accuracy and two fonts were recognized with over 88% accuracy. A Mean Opinion Score (MOS) test for speech quality was conducted. The results showed an overall MOS score of 3.53/5 and indicated that users were able to understand the speech. A real-time usability testing was conducted with 10 subjects. The results showed an overall average of agreements scores of 3.9/5 and indicated that the proposed Arabic reader pen meets the real-time constraints and is pleasant and satisfying to use and can contribute to make printed Arabic material accessible to visually impaired persons and people with learning disabilities.

中文翻译：

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阿拉伯语实时辅助阅读笔

残疾是影响个人生计和独立性的障碍。辅助技术使社区的残疾人能够打破学习障碍、获取信息、为社区做出贡献并独立生活。本文提出了一种辅助设备，使视力障碍和学习障碍的人能够实时访问印刷的阿拉伯材料，并帮助他们参与教育系统和专业劳动力。这个提议的辅助设备采用光学字符识别 (OCR) 和文本到语音 (TTS) 转换，使用串联合成。OCR是通过图像处理、字符提取和分类来实现的，而阿拉伯语语音合成是通过级联合成来实现的，其次是多波段再合成重叠相加 (MBROLA)。第二阶段的波形生成为残疾用户提供声音输出。对九种阿拉伯字体进行了 OCR 字符和单词准确性测试。结果表明，六种字体的识别准确率超过 60%，两种字体的识别准确率超过 88%。对语音质量进行了平均意见分数 (MOS) 测试。结果显示整体 MOS 得分为 3.53/5，表明用户能够理解语音。对 10 名受试者进行了实时可用性测试。结果显示，协议得分的总体平均值为 3。