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Extensions to the Speech Disorders Classification System (SDCS).

Lawrence D Shriberg1, Marios Fourakis, Sheryl D Hall

  • 1Waisman Center, University of Wisconsin-Madison, Madison, WI, USA. shriberg@waisman.wisc.edu

Clinical Linguistics & Phonetics
|September 14, 2010
PubMed
Summary
This summary is machine-generated.

This study extends the Speech Disorders Classification System (SDCS) to better classify pediatric motor speech disorders and speech delay. New tools like the Madison Speech Assessment Protocol (MSAP) and Competence, Precision, and Stability Analytics (CPSA) enhance diagnostic capabilities for speech sound disorders (SSD).

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Area of Science:

  • Linguistics
  • Speech-Language Pathology
  • Pediatric Medicine

Background:

  • Pediatric speech sound disorders (SSD) require refined classification systems.
  • Current systems may not adequately differentiate motor speech disorders from speech delay or sub-types within motor speech disorders.

Purpose of the Study:

  • To describe three extensions to the Speech Disorders Classification System (SDCS).
  • To introduce the Madison Speech Assessment Protocol (MSAP) and the Competence, Precision, and Stability Analytics (CPSA) framework.
  • To enhance the classification and quantification of pediatric speech sound disorders, particularly motor speech disorders.

Main Methods:

  • Extension of the SDCS to differentiate motor speech disorders from speech delay and its subtypes.
  • Development of the Madison Speech Assessment Protocol (MSAP), a comprehensive assessment battery.
  • Implementation of the Competence, Precision, and Stability Analytics (CPSA) framework using perceptual and acoustic indices.

Main Results:

  • The SDCS extensions provide clearer differentiation for motor speech disorders and speech delay.
  • The MSAP offers a structured protocol for detailed speech assessment.
  • The CPSA framework quantifies speech, prosody, and voice characteristics for subtyping SSD.

Conclusions:

  • The described extensions significantly advance the SDCS for classifying pediatric speech sound disorders.
  • These tools, including MSAP and CPSA, offer robust methods for diagnosis and research.
  • The complementary use of perceptual and acoustic methods enhances diagnostic accuracy for SSD of unknown origin.