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Optimizing linguistic materials for feature-based intelligibility assessment in speech impairments.

A Marczyk1, A Ghio2, M Lalain2

  • 1CNRS, LPL, Aix-en-Provence, Aix Marseille Univ, 5 Avenue Pasteur, 13100, Aix-en-Provence, France. ana-katarzyna.MARCZYK-BUKLAHA@univ-amu.fr.

Behavior Research Methods
|June 8, 2021
PubMed
Summary

Reducing speech assessment materials by 70% using phonotactic complexity criteria maintains intelligibility classifier performance. This optimizes speech disorder evaluations for clinicians and patients, ensuring reliable and efficient metrics.

Keywords:
data reductionintelligibilityspeech impairmentsspeech material

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Area of Science:

  • Speech-language pathology
  • Computational linguistics
  • Biomedical engineering

Background:

  • Assessing speech intelligibility in individuals with speech disorders often requires lengthy reading tasks.
  • Optimizing assessment materials is crucial for efficient clinical practice and patient comfort.

Purpose of the Study:

  • To investigate the impact of reducing pseudoword quantities in phonetic-acoustic decoding tasks on speech intelligibility classification.
  • To identify an optimal balance between material quantity and the robustness of intelligibility metrics.

Main Methods:

  • Phonetic-acoustic decoding tasks were administered to a speech-impaired population.
  • The number of pseudowords was reduced based on phonotactic complexity criteria.
  • Speech intelligibility classifiers were evaluated using accuracy indexes (AUC of ROC, Balanced Accuracy, F-scores).

Main Results:

  • Reducing elicitation material based on phonetic criteria, specifically phonotactic complexity, enhanced classifier performance compared to arbitrary reduction.
  • Downsizing the dataset to approximately 30% of the original size did not compromise the classifier's performance or stability.
  • The optimized material demonstrated higher classifying ability.

Conclusions:

  • Phonetically-guided reduction of speech assessment materials is an effective strategy for optimizing elicitation tasks.
  • A 70% reduction in material is feasible without sacrificing the reliability and efficiency of intelligibility assessment tools.
  • This finding offers a validated, efficient tool for both clinicians and patients in speech disorder evaluations.