Literature DB >> 3655012

Identification of dysarthria types based on perceptual analysis.

B J Zyski1, B E Weisiger.   

Abstract

This study was conducted to investigate the degree of accuracy with which three groups of listeners could use perceptual analysis alone for identification of specific dysarthria types. The dysarthria types to be identified in this study were identical to those described by Darley, Aronson, and Brown (1969a): Flaccid, Spastic, Ataxic, Hypokinetic, Hyperkinetic Chorea, Hyperkinetic Dystonia, and Mixed. Each group demonstrated minimal success in the accurate identification of specific dysarthria types. Factors that possibly contributed to this poor success and potential implications are discussed.

Entities:  

Mesh:

Year:  1987        PMID: 3655012     DOI: 10.1016/0021-9924(87)90025-6

Source DB:  PubMed          Journal:  J Commun Disord        ISSN: 0021-9924            Impact factor:   2.288


  11 in total

1.  Vowel acoustics in dysarthria: speech disorder diagnosis and classification.

Authors:  Kaitlin L Lansford; Julie M Liss
Journal:  J Speech Lang Hear Res       Date:  2014-02       Impact factor: 2.297

2.  A Comparative Study of Auditory-Perceptual Speech Measures for the Early Detection of Mild Speech Impairments.

Authors:  Mili Kuruvilla-Dugdale; Katie Threlkeld; Mary Salazar; Gwen Nolan; Lindsey Heidrick
Journal:  Semin Speech Lang       Date:  2019-08-19       Impact factor: 1.761

3.  Modeling listener perception of speaker similarity in dysarthria.

Authors:  Kaitlin L Lansford; Visar Berisha; Rene L Utianski
Journal:  J Acoust Soc Am       Date:  2016-06       Impact factor: 1.840

4.  The place of perceptual analysis of dysarthria in the differential diagnosis of corticobasal degeneration and Parkinson's disease.

Authors:  Canan Ozsancak; P Auzou; M Jan; L Defebvre; Ph Derambure; A Destee
Journal:  J Neurol       Date:  2005-08-17       Impact factor: 4.849

5.  Perceptual measures of speech from individuals with Parkinson's disease and multiple sclerosis: intelligibility and beyond.

Authors:  Joan E Sussman; Kris Tjaden
Journal:  J Speech Lang Hear Res       Date:  2012-01-09       Impact factor: 2.297

6.  Articulatory deficits in parkinsonian dysarthria: an acoustic analysis.

Authors:  H Ackermann; W Ziegler
Journal:  J Neurol Neurosurg Psychiatry       Date:  1991-12       Impact factor: 10.154

7.  Accuracy and inter-observer variation in the classification of dysarthria from speech recordings.

Authors:  S Fonville; H B van der Worp; P Maat; M Aldenhoven; A Algra; J van Gijn
Journal:  J Neurol       Date:  2008-09-03       Impact factor: 4.849

8.  Validation of Articulatory Rate and Imprecision Judgments in Speech of Individuals With Amyotrophic Lateral Sclerosis.

Authors:  Ashley A Waito; Farah Wehbe; Reeman Marzouqah; Carolina Barnett; Sanjana Shellikeri; Cindy Cui; Agessandro Abrahao; Lorne Zinman; Jordan R Green; Yana Yunusova
Journal:  Am J Speech Lang Pathol       Date:  2020-12-08       Impact factor: 2.408

Review 9.  The neural basis of ataxic dysarthria.

Authors:  Kristie A Spencer; Dana L Slocomb
Journal:  Cerebellum       Date:  2007       Impact factor: 3.648

10.  Logopenic and nonfluent variants of primary progressive aphasia are differentiated by acoustic measures of speech production.

Authors:  Kirrie J Ballard; Sharon Savage; Cristian E Leyton; Adam P Vogel; Michael Hornberger; John R Hodges
Journal:  PLoS One       Date:  2014-02-28       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.