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Analysis of voice changes after thyroplasty using linear predictive coding
R L Plant1, A D Hillel, P F Waugh
1Department of Otolaryngology-Head and Neck Surgery, University of Washington Medical Center, Seattle, U.S.A.
The Laryngoscope
|June 1, 1997
Summary
Linear predictive coding, a voice analysis technique, effectively measures vocal quality in patients with vocal fold immobility. Pitch amplitude, derived from this method, correlated well with perceptual voice assessments and improved post-medialization.
Area of Science:
- Otolaryngology
- Speech-Language Pathology
- Acoustic Analysis
Background:
- Objective measurement of vocal quality in severe voice disorders is challenging.
- Linear predictive coding (LPC) shows promise for analyzing voice signals.
- LPC estimates glottic excitation signals using inverse filtering.
Purpose of the Study:
- To evaluate the utility of LPC in assessing voice disorders in patients with vocal fold immobility.
- To determine the correlation between acoustic parameters and perceptual voice quality ratings.
- To assess changes in vocal quality following vocal fold medialization surgery.
Main Methods:
- Voice recordings were obtained from 16 patients undergoing vocal fold medialization and 10 control patients.
- Linear predictive coding was applied to analyze voice samples.
- Three speech pathologists provided perceptual ratings of voice quality.
- Five acoustic parameters, including pitch amplitude, were calculated.
Main Results:
- Pitch amplitude demonstrated the best agreement with perceptual voice quality assessments.
- Both pitch amplitude and perceptual voice quality ratings improved in patients who underwent vocal fold medialization.
- Acoustic parameter analysis provided objective measures correlating with subjective listener evaluations.
Conclusions:
- The linear model of speech production and inverse filtering are valuable tools for quantifying vocal quality in vocal fold immobility.
- Pitch amplitude is a reliable acoustic measure for assessing voice changes in this patient population.
- Objective acoustic analysis complements subjective perceptual evaluation in voice disorder assessment.
