Chronic neuromuscular diseases often cause dysarthria (speech distortions, impaired articulation, etc.), that becomes more severe over time. This aspect of the disease represents a serious problem in voice-controlled smart home systems. Medical research suggests that some speech features are impaired considerably, while others remain relatively unharmed. Therefore, it is possible to create a distance metric based on medical data that measures difference between two speech commands in a dysarthria-specific way: the contribution of various features to the distance is based on the extent of dysarthric impairment. Specifying a minimal distance between speech commands contributes to a more effective recognition during later stages of the disease.
CITATION STYLE
Simon-Nagy, G., & Várkonyi-Kóczy, A. R. (2017). Distance metric for speech commands of dysarthric users in smart home systems. In Advances in Intelligent Systems and Computing (Vol. 519, pp. 325–330). Springer Verlag. https://doi.org/10.1007/978-3-319-46490-9_44
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