Topic
Dysarthria
About: Dysarthria is a research topic. Over the lifetime, 2402 publications have been published within this topic receiving 56554 citations.
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TL;DR: MVP-online is an efficient, reliable and valid method for the assessment of intelligibility in dysarthria and is useful for clinical standard diagnosis, for large-scale studies of speech motor impairment, and for longitudinal studies, e.g. in treatment research.
39 citations
TL;DR: A structured sparse linear model incorporated with phonological knowledge that simultaneously addresses phonologically structured sparse feature selection and intelligibility prediction is proposed for automatically assessing the speech intelligibility of patients with dysarthria.
Abstract: This paper presents a new method for automatically assessing the speech intelligibility of patients with dysarthria, which is a motor speech disorder impeding the physical production of speech. The proposed method consists of two main steps: feature representation and prediction. In the feature representation step, the speech utterance is converted into a phone sequence using an automatic speech recognition technique and is then aligned with a canonical phone sequence from a pronunciation dictionary using a weighted finite state transducer to capture the pronunciation mappings such as match, substitution, and deletion. The histograms of the pronunciation mappings on a pre-defined word set are used for features. Next, in the prediction step, a structured sparse linear model incorporated with phonological knowledge that simultaneously addresses phonologically structured sparse feature selection and intelligibility prediction is proposed. Evaluation of the proposed method on a database of 109 speakers consisting of 94 dysarthric and 15 control speakers yielded a root mean square error of 8.14 compared to subjectively rated scores in the range of 0 to 100. This is a promising performance in which the system can be successfully applied to help speech therapists in diagnosing the degree of speech disorder.
39 citations
TL;DR: The ataxic model represents an elaboration of the relationship previously reported for normal speakers, likely reflecting both the effects of, and compensation for, cerebellar degeneration in motor speech control.
39 citations
TL;DR: There is no evidence of the quality required by this review to support or refute the effectiveness of speech and language therapy interventions for adults with dysarthria following nonprogressive brain damage.
Abstract: Background: Dysarthria is a common sequel of nonprogressive brain damage (typically stroke and traumatic brain damage). Impairment-based therapy and a wide variety of compensatory management strategies are undertaken by speech and language therapists with this patient population.Objective: To determine the efficacy of speech and language therapy interventions for adults with dysarthria following nonprogressive brain damage.Design: Systematic review.Search strategy: This review has drawn on the search strategies developed for the following Cochrane Groups as a whole: Stroke, Injuries, and Infectious Diseases. Relevant trials were identified in the Specialised Registers of Controlled Trials. We also searched the trials register of the Cochrane Rehabilitation and Related Therapies Field. The Cochrane Controlled Trials Register, MEDLINE, EMBASE, CINAHL, PsycLIT, and Linguistics and Language Behavior Abstracts were electronically searched. Hand-searching of the International Journal of Language and Communicati...
38 citations
38 citations