Voice-Controlled Robotic System Using Arabic Speech Recognition for People with Special Needs

Adil Bakri; Said Fahem

doi:10.61850/lij.v7i1.179

Adil Bakri

Scientific and Technical Research Centre on Arid Regions CRSTRA

https://orcid.org/0000-0002-2146-650X

Said Fahem

Centre for Scientific and Technical Research on Arabic Language Development CRSTDLA

https://orcid.org/0009-0009-9513-6616

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.

Keywords: Arabic speech recognition; voice-controlled robot; assistive technology; Arduino; automatic speech recognition (ASR); special needs; MFCC.

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Published: Jun 15, 2026

https://doi.org/10.61850/lij.v7i1.179

Issue: Vol. 7 No. 1 (2026): June 2026

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Bakri, A., & Fahem, S. (2026). Voice-Controlled Robotic System Using Arabic Speech Recognition for People with Special Needs. مجلة قضايا لغوية | Linguistic Issues Journal, 7(1), 171–195. https://doi.org/10.61850/lij.v7i1.179

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