Said Fahem
Research Subjects
Said Fahem has a total of 1 co-authors. Here are the top co-authors by number of shared publications:
- Adil Bakri
Scientific and Technical Research Centre for Arid Regions (CRSTRA), Biskra
1 shared publication
Latest Publications
- Open Access
- 15 June 2026
- Published by Scientific and Technical Research Center for the Development of Arabic Language in مجلة قضايا لغوية | Linguistic Issues Journal
- Vol. 7 (1) , 171-195
Voice-Controlled Robotic System Using Arabic Speech Recognition for People with Special Needs
This paper presents the design and implementation of a voice-controlled robotic system that uses Arabic Automatic Speech Recognition (ASR) to assist people with special needs, particularly those with mobility disabilities. Two hardware prototypes were developed: (1) a voice-controlled LED lighting circuit and (2) a miniature voice-controlled robotic vehicle. Both systems employ the AMR Voice Android application, an Arduino microcontroller, and an HC-05 Bluetooth module to convert Arabic spoken commands into executable control signals in real time. Experiments were conducted with 10 native Arabic speakers (5 male, 5 female) using 6 isolated command words (120 total trials). The system achieved an overall recognition accuracy of 92.5%, with no statistically significant difference between male and female speakers. Compared to existing English-only assistive systems, our work makes a distinct contribution by targeting Modern Standard Arabic and demonstrating deployability on low-cost, off the shelf hardware. These results confirm the system's viability for real-world assistive applications in Arab communities.
- 15 June 2026
- Published by Scientific and Technical Research Center for the Development of Arabic Language in مجلة قضايا لغوية | Linguistic Issues Journal
- Vol. 7 (1) , 171-195
Open AccessVoice-Controlled Robotic System Using Arabic Speech Recognition for People with Special Needs
This paper presents the design and implementation of a voice-controlled robotic system that uses Arabic Automatic Speech Recognition (ASR) to assist people with special needs, particularly those with mobility disabilities. Two hardware prototypes were developed: (1) a voice-controlled LED lighting circuit and (2) a miniature voice-controlled robotic vehicle. Both systems employ the AMR Voice Android application, an Arduino microcontroller, and an HC-05 Bluetooth module to convert Arabic spoken commands into executable control signals in real time. Experiments were conducted with 10 native Arabic speakers (5 male, 5 female) using 6 isolated command words (120 total trials). The system achieved an overall recognition accuracy of 92.5%, with no statistically significant difference between male and female speakers. Compared to existing English-only assistive systems, our work makes a distinct contribution by targeting Modern Standard Arabic and demonstrating deployability on low-cost, off the shelf hardware. These results confirm the system's viability for real-world assistive applications in Arab communities.