Quantifying Speech Rhythm Abnormalities in the Dysarthrias.
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| Title: | Quantifying Speech Rhythm Abnormalities in the Dysarthrias. |
|---|---|
| Authors: | Liss, Julie M.1 julie.liss@asu.edu, White, Laurence2, Mattys, Sven L.2, Lansford, Kaitlin3, Lotto, Andrew J.4, Spitzer, Stephanie M.3, Caviness, John N.5 |
| Source: | Journal of Speech, Language & Hearing Research. Oct2009, Vol. 52 Issue 5, p1334-1352. 19p. 11 Charts, 1 Graph. |
| Subject Terms: | *Articulation disorders, *Language rhythm, *Consonants, Speech pattern, Vowels, Speech research |
| Abstract: | Purpose: In this study, the authors examined whether rhythm metrics capable of distinguishing languages with high and low temporal stress contrast also can distinguish among control and dysarthric speakers of American English with perceptually distinct rhythm patterns. Methods: Acoustic measures of vocalic and consonantal segment durations were obtained for speech samples from 55 speakers across 5 groups (hypokinetic, hyperkinetic, flaccid-spastic, ataxic dysarthrias, and controls). Segment durations were used to calculate standard and new rhythm metrics. Discriminant function analyses (DFAs) were used to determine which sets of predictor variables (rhythm metrics) best discriminated between groups (control vs. dysarthrias; and among the 4 dysarthrias). A cross-validation method was used to test the robustness of each original DFA. Results: The majority of classification functions were more than 80% successful in classifying speakers into their appropriate group. New metrics that combined successive vocalic and consonantal segments emerged as important predictor variables. DFAs pitting each dysarthria group against the combined others resulted in unique constellations of predictor variables that yielded high levels of classification accuracy. Conclusions: This study confirms the ability of rhythm metrics to distinguish control speech from dysarthrias and to discriminate dysarthria subtypes. Rhythm metrics show promise for use as a rational and objective clinical tool. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 45108151 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Quantifying Speech Rhythm Abnormalities in the Dysarthrias. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Liss%2C+Julie+M%2E%22">Liss, Julie M.</searchLink><relatesTo>1</relatesTo><i> julie.liss@asu.edu</i><br /><searchLink fieldCode="AR" term="%22White%2C+Laurence%22">White, Laurence</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Mattys%2C+Sven+L%2E%22">Mattys, Sven L.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Lansford%2C+Kaitlin%22">Lansford, Kaitlin</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Lotto%2C+Andrew+J%2E%22">Lotto, Andrew J.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Spitzer%2C+Stephanie+M%2E%22">Spitzer, Stephanie M.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Caviness%2C+John+N%2E%22">Caviness, John N.</searchLink><relatesTo>5</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Speech%2C+Language+%26+Hearing+Research%22">Journal of Speech, Language & Hearing Research</searchLink>. Oct2009, Vol. 52 Issue 5, p1334-1352. 19p. 11 Charts, 1 Graph. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Articulation+disorders%22">Articulation disorders</searchLink><br />*<searchLink fieldCode="DE" term="%22Language+rhythm%22">Language rhythm</searchLink><br />*<searchLink fieldCode="DE" term="%22Consonants%22">Consonants</searchLink><br /><searchLink fieldCode="DE" term="%22Speech+pattern%22">Speech pattern</searchLink><br /><searchLink fieldCode="DE" term="%22Vowels%22">Vowels</searchLink><br /><searchLink fieldCode="DE" term="%22Speech+research%22">Speech research</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: In this study, the authors examined whether rhythm metrics capable of distinguishing languages with high and low temporal stress contrast also can distinguish among control and dysarthric speakers of American English with perceptually distinct rhythm patterns. Methods: Acoustic measures of vocalic and consonantal segment durations were obtained for speech samples from 55 speakers across 5 groups (hypokinetic, hyperkinetic, flaccid-spastic, ataxic dysarthrias, and controls). Segment durations were used to calculate standard and new rhythm metrics. Discriminant function analyses (DFAs) were used to determine which sets of predictor variables (rhythm metrics) best discriminated between groups (control vs. dysarthrias; and among the 4 dysarthrias). A cross-validation method was used to test the robustness of each original DFA. Results: The majority of classification functions were more than 80% successful in classifying speakers into their appropriate group. New metrics that combined successive vocalic and consonantal segments emerged as important predictor variables. DFAs pitting each dysarthria group against the combined others resulted in unique constellations of predictor variables that yielded high levels of classification accuracy. Conclusions: This study confirms the ability of rhythm metrics to distinguish control speech from dysarthrias and to discriminate dysarthria subtypes. Rhythm metrics show promise for use as a rational and objective clinical tool. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1044/1092-4388(2009/08-0208) Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 1334 Subjects: – SubjectFull: Articulation disorders Type: general – SubjectFull: Language rhythm Type: general – SubjectFull: Consonants Type: general – SubjectFull: Speech pattern Type: general – SubjectFull: Vowels Type: general – SubjectFull: Speech research Type: general Titles: – TitleFull: Quantifying Speech Rhythm Abnormalities in the Dysarthrias. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liss, Julie M. – PersonEntity: Name: NameFull: White, Laurence – PersonEntity: Name: NameFull: Mattys, Sven L. – PersonEntity: Name: NameFull: Lansford, Kaitlin – PersonEntity: Name: NameFull: Lotto, Andrew J. – PersonEntity: Name: NameFull: Spitzer, Stephanie M. – PersonEntity: Name: NameFull: Caviness, John N. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2009 Type: published Y: 2009 Identifiers: – Type: issn-print Value: 10924388 Numbering: – Type: volume Value: 52 – Type: issue Value: 5 Titles: – TitleFull: Journal of Speech, Language & Hearing Research Type: main |
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