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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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Journal ArticleDOI
TL;DR: Results indicated significant beneficial effect of short-term levodopa administration or long-term dopaminergic medication on different dimensions of speech in PD patients, as some improvement of vowel articulation was seen in individual patients.
Abstract: While the beneficial effect of levodopa on motor impairment in Parkinson's disease (PD) has been well documented, its effect on speech has rarely been examined and the respective literature is inconclusive. The aim of our study was to analyze the effect of short-term levodopa admission and long-term dopaminergic treatment on speech in PD patients in early stages of the disease. Motor examination according to UPDRS III and speech testing were performed in 23 PD patients (9 males; median age 68, 42-78 years) in the early morning after having abstained from dopaminergic medication overnight ("off" state, t0) after administration of 200 mg of soluble levodopa (t1), and at follow-up after 12-14 weeks under stable dopaminergic medication (t2). Speech examination comprised the perceptual rating of global speech performance and an acoustical analysis based upon a standardized reading task. While UPDRS III showed a significant amelioration after L: -dopa application, none of the parameters of phonation, intonation, articulation and speech velocity improved significantly in the "on" state, neither under short-term levodopa administration (t1) nor on stable dopaminergic treatment (t2). However, there was a positive effect of dopaminergic stimulation on vowel articulation in individual patients. Results indicated significant beneficial effect of short-term levodopa administration or long-term dopaminergic medication on different dimensions of speech in PD patients. As some improvement of vowel articulation was seen in individual patients, the pre-existing pattern of speech impairment might be responsible for the different response to pharmacological treatment.

116 citations

Journal ArticleDOI
TL;DR: Severity of speech deviation was positively correlated to overall severity of neurological involvement, type of disease course, and number of years in progression and the clinical dysarthria test was sensitive in detecting subclinical speech signs.
Abstract: Few attempts have been made to use degree and type of multiple sclerosis (MS) dysarthria in neurological evaluation. In the present study, 77 individuals drawn from an MS population were examined both by a speech pathologist and a neurologist, and data from three sources of information were subsequently combined: (1) a clinical dysarthria test procedure, (2) a perceptual analysis of speech characteristics in continuous speech, and (3) neurological deficit scoring. The speech of 15 age- and gender-matched healthy control subjects was also investigated. It was concluded that: (1) the prevalence of mild to severe dysarthria in this cohort was 51% and occurred in all components of speech production: respiration, phonation, prosody, articulation and nasality. (2) The clinical dysarthria test was sensitive in detecting subclinical speech signs. The prevalence of pathologic speech signs found on the basis of the test was found to be 62%. The prevalence of dysarthria based on the neurological evaluation alone was 20%. (3) The dysarthria of MS was a predominantly mixed dysarthria, with both ataxic and spastic speech signs frequently present in the speech of a given individual. (4) Furthermore, when a predominant type of dysarthria existed, it was not generally associated with a characteristic profile of neurological deficits. Rather, severity of speech deviation was positively correlated to overall severity of neurological involvement, type of disease course, and number of years in progression.

116 citations

Journal ArticleDOI
TL;DR: The prevalence of cognitive impairment in MND in this population based study of an unselected cohort was higher than has been previously reported and language deficits, especially anomia, may be relatively frequent in the MND population.
Abstract: OBJECTIVES—To determine the prevalence and nature of global cognitive dysfunction and language deficits in an unselected population based cohort of patients with motor neuron disease (MND). METHODS——A battery of neuropsychological and language tests was administered to patients presenting consecutively over a 3 year period to a regional neurology service with a new diagnosis of sporadic motor neuron disease. RESULTS—The 18 patients could be divided on the basis of their performance into three groups: Three patients were demented and had impaired language function (group 1); two non-demented patients had an aphasic syndrome characterised by word finding difficulties and anomia (group 2). Major cognitive deficits were therefore found in five of the 18 patients (28%). The remaining 13 performed normally on the test battery apart from decreased verbal fluency (group 3). CONCLUSIONS—The prevalence of cognitive impairment in MND in this population based study of an unselected cohort was higher than has been previously reported. Language deficits, especially anomia, may be relatively frequent in the MND population. Aphasia in MND may be masked by dysarthria and missed if not specifically examined.

115 citations

Journal ArticleDOI
TL;DR: The effect of speech rate reduction on speech and pause characteristics during a reading task was examined for speakers with Parkinson's disease (PD) and a group of control speakers.

114 citations

Proceedings ArticleDOI
09 Sep 2012
TL;DR: This study investigates how far fundamental training and adaptation techniques developed in the LVCSR community can take, and a variety of ASR systems using maximum likelihood and MAP adaptation strategies are established with all speakers obtaining significant improvements compared to the baseline system regardless of the severity of their condition.
Abstract: Speech-driven assistive technology can be an attractive alternative to conventional interfaces for people with physical disabilities. However, often the lack of motor-control of the speech articulators results in disordered speech, as condition known as dysarthria. Dysarthric speakers can generally not obtain satisfactory performances with off-the-shelf automatic speech recognition (ASR) products and disordered speech ASR is an increasingly active research area. Sparseness of suitable data is a big challenge. The experiments described here use UAspeech, one of the largest dysarthric databases available, which is still easily an order of magnitude smaller than typical speech databases. This study investigates how far fundamental training and adaptation techniques developed in the LVCSR community can take us. A variety of ASR systems using maximum likelihood and MAP adaptation strategies are established with all speakers obtaining significant improvements compared to the baseline system regardless of the severity of their condition. The best systems show on average 34% relative improvement on known published results. An analysis of the correlation between intelligibility of the speaker and the type of system which would represent an optimal operating point in terms of performance shows that for severely dysarthric speakers, the exact choice of system configuration is more critical than for speakers with less disordered speech.

114 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023229
2022415
2021164
2020138
2019125
201888