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Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors
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A Computer-Based Speech Sound Disorder Screening System Architecture.

Emilian Erman Mahmut1, Stelian Nicola1, Vasile Stoicu-Tivadar1

  • 1Department of Automation and Applied Informatics, Politehnica University Timisoara, Romania.

Studies in Health Technology and Informatics
|July 4, 2018
PubMed
Summary

This research reviews Computer-Based Speech Therapy (CBST) systems and proposes an automated Entropy-Based Sound Speech Disorder (SSD) Screening System architecture. This system will integrate with CBSTs and serve as a research platform.

Keywords:
Computer-based Speech Therapy ToolsGamificationScreeningSpeech ProcessingSpeech Sound Disorder

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Area of Science:

  • Speech-language pathology
  • Biomedical engineering
  • Computer science

Background:

  • Computer-Based Speech Therapy (CBST) systems offer potential for speech disorder management.
  • Current screening methods for speech disorders lack comprehensive automation and integration.
  • Research is needed to advance objective and efficient speech disorder assessment.

Purpose of the Study:

  • To review existing CBST architectures.
  • To propose a novel architecture for an automated Entropy-Based Sound Speech Disorder (SSD) Screening System.
  • To establish a research infrastructure for refining SSD screening objectives.

Main Methods:

  • Literature review of current CBST systems and solutions.
  • Architectural design of an Entropy-Based SSD Screening System.
  • Data flow scenario development for automated screening.

Main Results:

  • A comprehensive review of various CBST architectures was conducted.
  • A detailed architecture for an Entropy-Based SSD Screening System was described.
  • The proposed system is designed for full automation and integration with CBSTs.

Conclusions:

  • The proposed architecture provides a foundation for an automated SSD screening system.
  • This system can serve as a valuable research infrastructure for speech disorder studies.
  • Integration with CBSTs promises enhanced speech therapy and diagnostic capabilities.