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Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors

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Published on: January 3, 2017

Methods for quantifying tongue shape and complexity using ultrasound imaging.

Katherine M Dawson^1,2, Mark K Tiede², D H Whalen^1,2,3

¹a Department of Speech-Language-Hearing Sciences, City University of New York Graduate Center , New York , NY , USA.

Clinical Linguistics & Phonetics

|November 21, 2015

Summary

This summary is machine-generated.

Quantifying tongue shape aids in understanding speech articulation. Combining methods like Procrustes analysis, curvature, and Fourier coefficients accurately classifies tongue shapes for different speech sounds.

Keywords:

Articulation complexity speech production measurement tongue shape ultrasound

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Area of Science:

Speech Science
Linguistics
Biomedical Engineering

Background:

Quantifying tongue shape is crucial for analyzing articulatory strategies in speech.
Tongue shape complexity can indicate functional independence of tongue muscles.
Ultrasound imaging offers a non-invasive method for observing tongue movements.

Purpose of the Study:

To evaluate three distinct methods for quantifying tongue shape: Procrustes analysis, curvature inflections, and Fourier coefficients.
To assess the efficacy of these quantification methods in classifying tongue shapes associated with different phonemes.
To determine the potential of these methods for clinical applications in speech deficit assessment.

Main Methods:

Employed Procrustes analysis, curvature inflections, and Fourier coefficients to quantify tongue shapes.
Utilized linear discriminant analysis (LDA) for classification of tongue shapes.
Collected data from six native American English speakers producing 15 phoneme types.

Main Results:

Individual quantification methods showed varying degrees of accuracy in classifying phoneme-specific tongue shapes.
Combining the results from the three quantification methods significantly improved the accuracy of tongue shape classification.
Accurate classification of tongue shapes was achieved when data from different methods were integrated.

Conclusions:

The evaluated methods, particularly when used in combination, are effective for quantifying and classifying tongue shapes.
These quantitative approaches show promise for enhancing the clinical utility of ultrasound in speech pathology.
Further development could lead to improved diagnostic tools for speech disorders based on articulatory analysis.