Rachida Ait Abdelouahid
Papers
2
Total Citations
10
H-Index
2
About
Rachida Ait Abdelouahid is a researcher advancing the field of speech recognition, with a particular focus on under-resourced languages and practical, real-world applications. Her work centers on developing machine learning and deep-learning models to interpret and respond to human speech, with a notable emphasis on the Moroccan Arabic dialect, "Darija." Her most cited paper, "Moroccan's Arabic Speech Training And Deploying Machine Learning Models with Teachable Machine" (2022, 7 citations), demonstrates her commitment to making speech technology accessible by using user-friendly platforms for model training. Building on this foundation, her work "Simulation of Car Driving by Voice Commands based on a Deep-Learning Model" (2022, 3 citations) showcases a compelling application: enabling voice-controlled navigation for a robot using dialectal speech. This innovative approach highlights the potential for speech interfaces in assistive technology and autonomous systems. By tackling the challenges of dialectal Arabic, Ait Abdelouahid is not only contributing to the core science of speech recognition but also bridging a critical gap in language technology, making human-computer interaction more inclusive and intuitive for Arabic-speaking communities.
Research Focus
Key Achievements
Top Papers
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- 2