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Summary
This summary is machine-generated.

This study introduces a computer system to help children with speech sound disorders improve pronunciation. The system analyzes speech sounds, aiming to improve accuracy in computer-assisted pronunciation training for better communication outcomes.

Keywords:
computer-assisted pronunciation analysis and trainingphonological features

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Area of Science:

  • Speech-language pathology
  • Computer science
  • Linguistics

Background:

  • Speech sound disorders impact 10% of children, affecting communication and academics.
  • Effective pronunciation training requires extensive supervised practice, often inaccessible.
  • Current computer-assisted pronunciation training lacks accurate error identification.

Purpose of the Study:

  • To develop an accurate computer-assisted system for analyzing children's pronunciation.
  • To improve the effectiveness of computer-assisted pronunciation training for speech sound disorders.

Main Methods:

  • A multi-target architecture combined with weighted finite-state transducers was developed.
  • The system segments utterances and analyzes phonological features.
  • A corpus of 90 children (aged 4-7) was analyzed.

Main Results:

  • The system demonstrated the ability to analyze phonological features in children's speech.
  • Differences were identified between typically developing children and those with speech disorders.
  • The proposed system shows potential for accurate pronunciation error detection.

Conclusions:

  • The developed system offers a promising approach to computer-assisted pronunciation training.
  • This technology can help bridge the gap in access to speech-language pathology services.
  • Further research can refine the system for broader clinical application.