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Speech production after glossectomy: methodological aspects.

Audrey Acher1, Pascal Perrier, Christophe Savariaux

  • 1GIPSA-Lab, UMR 5216 CNRS/ Université Grenoble-Alpes , Saint Martin d'Hères , France and.

Clinical Linguistics & Phonetics
|July 11, 2013
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Summary
This summary is machine-generated.

This study quantifies speech quality post-glossectomy using acoustic and articulatory methods. Combining these with perceptual data offers a comprehensive assessment of speech impairments.

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Area of Science:

  • Speech-Language Pathology
  • Acoustic Analysis
  • Biomedical Engineering

Background:

  • Glossectomy significantly impacts speech production, necessitating quantitative assessment methods.
  • Existing methods for evaluating speech quality after glossectomy may lack comprehensiveness.
  • Objective measurement of speech changes requires integrating acoustic and articulatory data.

Purpose of the Study:

  • To investigate methodological issues in quantitatively assessing speech quality after glossectomy.
  • To determine the relevance of acoustic and articulatory parameters in relation to perceptual evaluations.
  • To explore the combined utility of acoustic, articulatory, and perceptual data for speech assessment.

Main Methods:

  • Collected acoustic and articulatory data for 8 consonants from two post-glossectomy patients.
  • Performed acoustic analysis using spectral moments and the Klatt Voice Onset Time (VOT).
  • Recorded lingual movements via ultrasound and analyzed parameter variations against perceptual ratings.

Main Results:

  • Skewness and Center of Gravity were identified as key relevant acoustic parameters.
  • Klatt VOT explained variations not captured by spectral moments alone.
  • Ultrasound parameters provided insights into impairments missed by acoustic analysis.

Conclusions:

  • A combined approach using articulatory, perceptual, and acoustic data offers complementary information.
  • This integrated methodology enhances the quantitative assessment of speech quality after glossectomy.
  • The study highlights the importance of multimodal data for understanding speech production deficits.