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Development and Validation of a Single-Variable Comparison Stimulus for Matching Strained Voice Quality Using a
Yeonggwang Park1, Supraja Anand1, Sophia M Gifford1
1Department of Communication Sciences & Disorders, University of South Florida, Tampa.
Journal of Speech, Language, and Hearing Research : JSLHR
|December 14, 2022
Summary
Quantifying vocal strain is challenging. Researchers developed a single-variable matching task (SVMT) using synthesized stimuli, finding computed sharpness accurately predicts perceived vocal strain.
Area of Science:
- Speech Science
- Acoustic Phonetics
- Voice Quality Analysis
Background:
- Accurate acoustic and perceptual quantification of vocal strain remains a significant challenge in voice research.
- Previous methods for assessing voice qualities like breathiness and roughness have been established.
- A need exists for a more rigorous and reliable method to measure vocal strain.
Purpose of the Study:
- To develop and validate a single-variable matching stimulus (SVMT) for the accurate measurement of vocal strain.
- To enhance the rigor of vocal strain quantification through a standardized measurement approach.
- To establish a reliable method for assessing perceived vocal strain.
Main Methods:
- Synthesized 21 comparison stimuli using a speech-shaped sawtooth waveform and noise, manipulating bandpass filter gain to vary computed sharpness.
- Assessed 10 natural /ɑ/ vocal stimuli with varying degrees of strain using the SVMT.
- Utilized perceptual magnitude estimation (ME) to evaluate both natural and synthetic stimuli.
Main Results:
- Magnitude estimation data confirmed the synthetic stimuli accurately represented varying levels of perceived strain.
- Perceived strain magnitudes showed a significant and linear increase with computed sharpness (R² = .99).
- Strain matching values were strongly predicted by computed sharpness (R² = .96) and perceived strain magnitudes (R² = .95).
Conclusions:
- Perception of vocal strain is closely linked to computed sharpness.
- The single-variable matching task (SVMT), using bandpass filter gain as the independent variable, accurately and precisely captures vocal strain.
- This validated method offers a more rigorous approach to vocal strain quantification.
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