Towards Articulatory-Based Adaptation in Dysarthric Speech Recognition

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Automatic speech recognition (ASR) has produced mature and widespread tools for the general public, but remains effectively unusable by individuals with severe speech disorders. One group of such disorders, called dysarthria, is caused by neuromuscular disorders such as cerebral palsy, multiple sclerosis, Parkinson's disease, stroke. While individuals with dysarthria might be able to form and comprehend full sentences, they would lack control over the muscles used in speech, producing unintelligible speech. The neurological damage that causes dysarthria also affects other physical activity, such as slowing keyboard input 150 to 300 fold in severe cases compared with regular users (Hosom et al., 2003; Hux et al., 2000). Speech recognition has the potential to be a viable alternative to keyboard input if poor speech can be reliably recognized.