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[HTML][HTML] Pre-trained models for detection and severity level classification of dysarthria from speech
Automatic detection and severity level classification of dysarthria from speech enables non-
invasive and effective diagnosis that helps clinical decisions about medication and therapy …
invasive and effective diagnosis that helps clinical decisions about medication and therapy …
Making assessment real: Audrey Holland's contributions to the assessment of aphasia and cognitive-communication disorders in clinical and research settings
For half a century, Dr. Audrey Holland investigated, developed, and implemented ways to
extend the assessment of adult language and cognitive-communication disorders beyond …
extend the assessment of adult language and cognitive-communication disorders beyond …
Integrating binary classification and clustering for multi-class dysarthria severity level classification: a two-stage approach
Dysarthria, a motor speech disorder, poses challenges in accurate severity assessment.
Recent research has excelled in classifying dysarthria based on severity levels, primarily …
Recent research has excelled in classifying dysarthria based on severity levels, primarily …
Severity Classification and Dysarthric Speech Detection using Self-Supervised Representations
Automatic detection and classification of dysarthria severity from speech provides a non-
invasive and efficient diagnostic tool, offering clinicians valuable insights to guide treatment …
invasive and efficient diagnostic tool, offering clinicians valuable insights to guide treatment …