الفهرس 
Multimodal speech recognition for people with articulation disorder
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Abstract
This study introduces an automatic speech recognition system for people with speech disorder based on both speech and visual components. Face and mouth regions are detected using the Viola - Jones algorithm. The acoustic and visual input features are concatenated on one feature vector. The system is tested on isolated English words spoken by disorder speakers from UA - Speech data. Results of our proposed system indicate that visual features are highly effective and can improve the accuracy to reach 7.91% for speaker dependent experiments and 3% for speaker independent experiments