| Discriminating dysarthria type from envelope modulation spectra. | |
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MedLine Citation:
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PMID: 20643800 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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PURPOSE: Previous research demonstrated the ability of temporally based rhythm metrics to distinguish among dysarthrias with different prosodic deficit profiles (J. M. Liss et al., 2009). The authors examined whether comparable results could be obtained by an automated analysis of speech envelope modulation spectra (EMS), which quantifies the rhythmicity of speech within specified frequency bands. METHOD: EMS was conducted on sentences produced by 43 speakers with 1 of 4 types of dysarthria and healthy controls. The EMS consisted of the spectra of the slow-rate (up to 10 Hz) amplitude modulations of the full signal and 7 octave bands ranging in center frequency from 125 to 8000 Hz. Six variables were calculated for each band relating to peak frequency and amplitude and relative energy above, below, and in the region of 4 Hz. Discriminant function analyses (DFA) determined which sets of predictor variables best discriminated between and among groups. RESULTS: Each of 6 DFAs identified 2-6 of the 48 predictor variables. These variables achieved 84%-100% classification accuracy for group membership. CONCLUSIONS: Dysarthrias can be characterized by quantifiable temporal patterns in acoustic output. Because EMS analysis is automated and requires no editing or linguistic assumptions, it shows promise as a clinical and research tool. |
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Authors:
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Julie M Liss; Sue LeGendre; Andrew J Lotto |
Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, N.I.H., Extramural Date: 2010-07-19 |
Journal Detail:
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Title: Journal of speech, language, and hearing research : JSLHR Volume: 53 ISSN: 1558-9102 ISO Abbreviation: J. Speech Lang. Hear. Res. Publication Date: 2010 Oct |
Date Detail:
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Created Date: 2010-09-30 Completed Date: 2011-02-25 Revised Date: 2011-05-10 |
Medline Journal Info:
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Nlm Unique ID: 9705610 Medline TA: J Speech Lang Hear Res Country: United States |
Other Details:
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Languages: eng Pagination: 1246-55 Citation Subset: IM |
Affiliation:
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Motor Speech Disorders Laboratory, Arizona State University Coor, 870102, Tempe, AZ 85287, USA. julie.liss@asu.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Amyotrophic Lateral Sclerosis
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complications Ataxia / complications Case-Control Studies Discriminant Analysis Dysarthria / classification*, complications, diagnosis Female Humans Huntington Disease / complications Male Parkinson Disease / complications Periodicity Phonetics Reference Values Signal Processing, Computer-Assisted Sound Spectrography / methods Speech Acoustics* Speech Articulation Tests* Speech Intelligibility* Time Factors |
| Grant Support | |
ID/Acronym/Agency:
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5 R01 DC 4674/DC/NIDCD NIH HHS; 5 R01DC6859/DC/NIDCD NIH HHS; R01 DC006859-07/DC/NIDCD NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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