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Related Experiment Videos

Voice dysfunction in dysarthria: application of the Multi-Dimensional Voice Program.

R D Kent1, H K Vorperian, J F Kent

  • 1Waisman Center, University of Wisconsin-Madison, Rm 435, 1500 Highland Avenue, Madison, WI 53705-2280, USA. kent@waisman.wisc.edu

Journal of Communication Disorders
|July 3, 2003
PubMed
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Multi-parameter acoustic analysis, like the Multi-Dimensional Voice Program (MDVP), offers a promising approach to assessing vocal impairments in dysarthria. This study outlines standards for reliable voice analysis and reviews data for various neurological conditions.

Area of Science:

  • Neurolinguistics
  • Speech-Language Pathology
  • Acoustic Analysis

Background:

  • Phonatory dysfunction is a common and primary feature of dysarthria, presenting diagnostic challenges due to co-occurring impairments.
  • Accurate assessment of voice disorders in dysarthria is complicated by the complexity of vocal impairment analysis and its association with other speech subsystems.
  • Multi-parameter acoustic analysis, exemplified by the Multi-Dimensional Voice Program (MDVP), emerges as a valuable tool for objective voice assessment.

Purpose of the Study:

  • To establish standardized procedures and criteria for conducting reliable acoustic analysis of voice in dysarthria.
  • To review and describe acoustic voice profiles associated with specific neurological conditions causing dysarthria.
  • To enhance the clinical utility and validity of acoustic voice analysis for dysarthria assessment.

Related Experiment Videos

Main Methods:

  • Part 1 details recommendations for acoustic voice analysis, covering sample selection, signal quality, normative data availability, reliability, and cross-validation.
  • Part 2 involves a review of acoustic data from individuals with dysarthria linked to Parkinson disease, cerebellar disease, ALS, TBI, stroke, and essential tremor.
  • Development of tentative voice disorder profiles for each condition based on the reviewed acoustic data.

Main Results:

  • Proposed standards for acoustic voice analysis aim to improve consistency and comparability across studies and clinical settings.
  • Tentative voice disorder profiles were described for dysarthria associated with Parkinson disease, cerebellar disease, ALS, TBI, stroke, and essential tremor.
  • The study highlights the potential of MDVP and similar systems for detailed, objective voice assessment in dysarthria.

Conclusions:

  • Standardized acoustic analysis, particularly using tools like MDVP, can significantly improve the assessment of phonatory dysfunction in dysarthria.
  • The established voice profiles serve as hypotheses for future research into the specific acoustic correlates of different dysarthria types.
  • Despite remaining challenges, implementing recommended procedures can enhance the reliability, validity, and clinical application of voice analysis in dysarthria.