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Related Experiment Videos

Real-time speech pattern element displays for interactive therapy.

E Abberton1, X Hu, A Fourcin

  • 1Centre for Speech and Hearing, University College London. e.abberton@ucl.ac.uk

International Journal of Language & Communication Disorders
|May 27, 1999
PubMed
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New methods allow for the separate measurement and display of speech characteristics like voice quality, frication, and nasality. These advancements aid in analyzing and treating diverse clinical speech issues with improved accuracy.

Area of Science:

  • Speech science and technology
  • Clinical linguistics
  • Bioacoustics

Background:

  • Clinical speech analysis often requires evaluating multiple parameters simultaneously.
  • Existing methods may lack the precision or immediacy needed for certain diagnostic and therapeutic applications.
  • Integrating voice quality, frication, and nasality measures presents a challenge.

Purpose of the Study:

  • To introduce novel developments for the interactive display and separate measurement of frication and nasality.
  • To enhance the analysis of voice quality alongside frication and nasality.
  • To provide tools supporting diverse clinical problems with tailored therapeutic and quantitative approaches.

Main Methods:

  • Utilizing the laryngograph signal for advanced signal analysis.

Related Experiment Videos

  • Developing interactive displays for real-time speech pattern visualization.
  • Implementing separate measurement techniques for frication, nasality, and voice quality parameters.

    • Main Results:

    • Demonstrated ability to display and measure frication and nasality independently from voice quality.
    • Achieved high accuracy and immediacy in speech pattern analysis.
    • Showcased the utility of integrated speech pattern elements for clinical applications.

    Conclusions:

    • The presented developments offer significant improvements for speech analysis and clinical intervention.
    • The use of the laryngograph signal facilitates accurate and immediate feedback.
    • These advancements support personalized therapeutic strategies by analyzing combined speech pattern elements.