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Automatic assessment of vowel space area
Steven Sandoval1, Visar Berisha, Rene L Utianski
1School of Electrical, Computer and Energy Engineering, Sensor, Signal & Information Processing Center, Arizona State University, Tempe, Arizona 85287 spsandov@asu.edu.
The Journal of the Acoustical Society of America
|November 5, 2013
Summary
This study introduces an automated method for estimating vowel space area (VSA) using connected speech. The new approach is more sensitive to speech production deficits than traditional methods.
Area of Science:
- Speech science
- Linguistics
- Phonetics
Background:
- Vowel space area (VSA) is used to study speech production and intelligibility.
- Traditional VSA methods lack sensitivity to production deficits.
Purpose of the Study:
- Develop and validate an automated algorithm for VSA estimation.
- Improve sensitivity of VSA metrics for speech production analysis.
Main Methods:
- Algorithm development using connected speech, not isolated syllables.
- Estimation of the entire vowel working space, beyond corner vowels.
- Correlation analysis between traditional and automated VSA estimates.
Main Results:
- Strong correlation observed between traditional VSA and automated VSA estimates.
- Automated VSA method shows higher accuracy when methods diverge.
- The algorithm accounts for all vowels, providing a more comprehensive measure.
Conclusions:
- The automated VSA algorithm offers a more sensitive and accurate measure of speech production.
- This method enhances the study of speech deficits and intelligibility.
- The algorithm's use of connected speech and the full vowel space represents a significant advancement.
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