Literature DB >> 29422763

Long-Term Average Spectral (LTAS) Measures of Dysarthria and Their Relationship to Perceived Severity.

Kris Tjaden1, Joan E Sussman1, Grace Liu1, Greg Wilding2.   

Abstract

This study investigated the relationship between measures of Long-Term Average Spectrum (LTAS) for speakers with Parkinson's disease (PD) and Multiple Sclerosis (MS) and scaled estimates of perceived speech severity. Perceived severity was operationally defined as listeners' overall impression of voice, resonance, articulatory precision, and prosody without regard to intelligibility. Healthy control talkers were also studied. Speakers were audio recorded while reading Harvard Sentences and the Grandfather Passage. Using TF32 (Milenkovic, 2005), the LTAS was computed for sentences. Coefficients of the first four moments were used to characterize energy across the speech spectrum. Supplemental acoustic measures of articulatory rate, vocal intensity, and fundamental frequency also were obtained. Three speech-language pathologists scaled speech severity for the reading passages. Results indicated no group differences in acoustic measures. The absolute magnitude of correlations between LTAS moment coefficients and perceptual estimates of scaled severity within and across speaker groups ranged from .16 to .53, with the strongest correlations for the PD group. These results suggest that the LTAS may prove useful in conjunction with perceptual judgments to document speech spectral changes related to treatment or disease progression. Findings further suggest that different acoustic models of severity are likely needed for dysarthria secondary to PD and dysarthria secondary to MS.

Entities:  

Keywords:  Long term average spectrum; dysarthria; speech severity

Year:  2010        PMID: 29422763      PMCID: PMC5800529     

Source DB:  PubMed          Journal:  J Med Speech Lang Pathol        ISSN: 1065-1438


  12 in total

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Authors:  Jean C Krause; Louis D Braida
Journal:  J Acoust Soc Am       Date:  2004-01       Impact factor: 1.840

2.  Effect on LTAS of vocal loudness variation.

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3.  Disfluency in spasmodic dysphonia: a multivariate analysis.

Authors:  M P Cannito; A R Burch; C Watts; P W Rappold; S B Hood; K Sherrard
Journal:  J Speech Lang Hear Res       Date:  1997-06       Impact factor: 2.297

4.  Spectral moments of the long-term average spectrum: sensitive indices of voice change after therapy?

Authors:  Kristine Tanner; Nelson Roy; Andrea Ash; Eugene H Buder
Journal:  J Voice       Date:  2005-06       Impact factor: 2.009

5.  Acoustic-phonetic correlates of talker intelligibility for adults and children.

Authors:  Valerie Hazan; Duncan Markham
Journal:  J Acoust Soc Am       Date:  2004-11       Impact factor: 1.840

6.  Spectral amplitude measures of adductor spasmodic dysphonic speech.

Authors:  Michael P Cannito; Eugene H Buder; Lesya B Chorna
Journal:  J Voice       Date:  2005-09       Impact factor: 2.009

7.  Rate and loudness manipulations in dysarthria: acoustic and perceptual findings.

Authors:  Kris Tjaden; Gregory E Wilding
Journal:  J Speech Lang Hear Res       Date:  2004-08       Impact factor: 2.297

8.  Acoustic measurement of voice quality in central dysphonia.

Authors:  E Hartmann; D von Cramon
Journal:  J Commun Disord       Date:  1984-11       Impact factor: 2.288

9.  Effects of loud and amplified speech on sentence and word intelligibility in Parkinson disease.

Authors:  Amy T Neel
Journal:  J Speech Lang Hear Res       Date:  2008-10-31       Impact factor: 2.297

10.  Characteristics of speaking rate in the dysarthria associated with amyotrophic lateral sclerosis.

Authors:  G S Turner; G Weismer
Journal:  J Speech Hear Res       Date:  1993-12
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  3 in total

1.  Predicting Intelligibility Gains in Dysarthria Through Automated Speech Feature Analysis.

Authors:  Annalise R Fletcher; Alan A Wisler; Megan J McAuliffe; Kaitlin L Lansford; Julie M Liss
Journal:  J Speech Lang Hear Res       Date:  2017-11-09       Impact factor: 2.297

2.  Subcortical Effects on Voice and Fluency in Dysarthria: Observations from Subthalamic Nucleus Stimulation.

Authors:  Diana Sidtis; John J Sidtis
Journal:  J Alzheimers Dis Parkinsonism       Date:  2017-10-30

3.  Sch-net: a deep learning architecture for automatic detection of schizophrenia.

Authors:  Jia Fu; Sen Yang; Fei He; Ling He; Yuanyuan Li; Jing Zhang; Xi Xiong
Journal:  Biomed Eng Online       Date:  2021-08-03       Impact factor: 2.819

  3 in total

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