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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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07 Nov 2009
TL;DR: The Automatic Malay Speech Recognition for Speech Disorder System is able to recognized impaired Malay words spoken by people who suffer from dysarthria, a motor speech disorder resulting from neuron damage, characterized by poor communication.
Abstract: Automatic speech recognition systems have the potential to make hard to understand speech more easily recognizable. Designing a system that recognizes impaired speech is more difficult than a system that recognizes normal speech. The Automatic Malay Speech Recognition for Speech Disorder System is able to recognized impaired Malay words spoken by people who suffer from dysarthria, a motor speech disorder resulting from neuron damage, characterized by poor communication. It is developed using techniques used for normal speech recognition but modified to cater for the speech impairment. A feature extraction technique based on the Mel Frequency Cepstrum Coefficient (MFCC) is used along with artificial intelligent algorithms to recognize the speech. In addition, novel pre-processing steps are required to segment the speech prior to recognition taking into account the speech irregularities. The system requires that the user is registered with the system and the system is then trained to accommodate the user speech pattern. The outputs of the system are the visual display of the corrected words uttered or synthesized audio version of the corrected words.

1 citations

Journal ArticleDOI
TL;DR: In this article , the authors investigated how sociodemographic and stroke-related factors and medical adherence explain the self-perceived level of disability in a Korean stroke population, and the relationship between disability and different variables was analyzed using ordinal logistic regression.
Abstract: Little is known about the self-perceived level of disability of stroke survivors in the community. We aimed to characterise Health-related quality of life (HRQoL) 1 year after stroke and investigate how sociodemographic and stroke-related factors and medical adherence explain the self-perceived level of disability in a Korean stroke population.This was a multicentre cross-sectional study. A total of 382 ischaemic stroke survivors at 1 year after onset from 11 university hospitals underwent a one-session assessment, including socioeconomic variables, the modified Rankin Scale (mRS), various neurological sequelae, the Morisky, Green and Levin-Medication Adherence Questionnaire (MGL), and the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) 36-items. The relationship between disability and different variables was analysed using ordinal logistic regression.The prevalence of disability based on global WHODAS 2.0 was 62.6% (mild, 41.6%; moderate, 16.0%; severe, 5.0%). The prevalence of severe disability was higher in participation in society (16.8%) and getting around (11.8%) than in other domains. Low MGL- motivation was the only factor determining a significant association between all six domains of disability after adjustment. Different predictors for specific domains were age, mRS, dysarthria, trouble seeing, cognition problems, and MGL-motivation for understanding and communicating; age, recurrent stroke, mRS, hemiplegia, facial palsy, general weakness, and MGL-motivation for getting around; age, education, mRS, hemiplegia, and MGL-motivation for self-care; education, recurrent stroke, hemiplegia, dysarthria, and MGL-motivation for getting along with people; age, education, income, mRS, hemiplegia, dysarthria, MGL-knowledge, and MGL-motivation for life activities; living without a spouse, mRS, hemiplegia, dysarthria, trouble seeing, cognition problems, general weakness, and MGL-motivation for participation in society.Self-perceived disability according to the WHODAS 2.0 at 1 year after stroke was highly prevalent. Each disability domain showed a different prevalence and associated factors. Interventions promoting medical adherence to motivation seemed to help achieve high HRQoL in all domains.

1 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated speech rhythm characteristics of patients with Parkinson's disease (PD) treated with subthalamic nucleus (STN) DBS to understand the underlying pathophysiology better.

1 citations

Journal ArticleDOI
TL;DR: In this paper , the etiology and pathophysiology of chronic inflammatory demyelinating polyneuropathy (CIDP) in two patients, of whom one experienced a mildly symptomatic SARS-CoV-2 infection 2 months prior to onset of the CIDP (patient-1), whereas patient-2 developed CIDPs with bilateral facial palsy 19 days after receiving a shot of an RNA-based anti-SARS CoV 2 vaccine.
Abstract: Abstract The aim of this letter to the editor is to discuss the etiology and pathophysiology of chronic inflammatory demyelinating polyneuropathy (CIDP) in two patients, of whom one experienced a mildly symptomatic SARS-CoV-2 infection 2 months prior to onset of the CIDP (patient-1), whereas patient-2 developed CIDP with bilateral facial palsy 19 days after receiving a shot of an RNA-based anti-SARS-CoV-2 vaccine. Causality between the SARS-CoV-2 infection and CIDP in patient-1 remains unsupported and the diagnosis CIDP in patient-2 remains questionable. Although delineation between CIDP and GBS is not clear cut, bilateral facial palsy and absence of proximal involvement suggest GBS rather than CIDP.

1 citations

Journal ArticleDOI
TL;DR: SPEAK-OUT!
Abstract: Introduction: SPEAK-OUT!® is a behavioral treatment for hypokinetic dysarthria in persons with Parkinson’s disease (PD) that has become an alternative to the gold-standard Lee Silverman Voice Treatment (LSVT) in recent years. Acoustic evaluation of the efficacy of SPEAK-OUT!® therapy has focused on prosody. The purpose of this study was to investigate SPEAK-OUT!® efficacy in terms of vocal quality and its impact on quality of life. Vocal quality was measured acoustically using cepstral peak prominence (CPP) analysis and the Acoustic Voice Quality Index (AVQI) and perceptually using clinical ratings of speech performance. Impact on quality of life was measured with the Voice Handicap Index (VHI) and Voice-Related Quality of Life (V-RQOL). An additional goal of this study was to investigate whether dysarthria severity and disease duration were predictive of changes in voice quality due to SPEAK-OUT!®. Methods: Pre- and post-therapy data included PD participants’ acoustic and perceptual ratings of audio recordings. Demographic data included age, sex, diagnosis, duration of PD, and severity of dysarthria. Results: Participants achieved significant improvement in the vowel and sentence CPP smoothed (CPPS) mean score as well as in their AVQI score post SPEAK-OUT!® treatment. Improvements in AVQI correlated negatively with disease duration and positively with dysarthria severity. Discussion/Conclusion: SPEAK-OUT!® is effective in improving voice quality in patients with hypokinetic dysarthria due to idiopathic PD. Patients with more severe dysarthria and with a shorter disease duration may benefit the most, supporting earlier intervention. As for the type of measurement, AVQI combines acoustics from both vowel and sentence contexts and may therefore be the measure of choice over CPPS (vowel) or CPPS (sentence).

1 citations


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