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Selected acoustic characteristics of pathologic and normal speakers
Summary
Voice analysis using speaking fundamental frequency (SFF) and jitter can help distinguish between healthy individuals and those with laryngeal cancer. Perturbation measures during sustained vowels were particularly effective in this differentiation.
Area of Science:
- Laryngology
- Speech-Language Pathology
- Acoustic Analysis
Background:
- Laryngeal cancer diagnosis often relies on visual inspection and biopsy.
- Objective voice analysis offers a non-invasive adjunct for early detection and differentiation.
Purpose of the Study:
- To evaluate the efficacy of speaking fundamental frequency (SFF) and voice perturbation measures in differentiating between healthy talkers and those with laryngeal cancer.
- To determine the diagnostic value of acoustic voice analysis in laryngeal pathology.
Main Methods:
- Acoustic analysis of speech samples from ten male subjects (five with laryngeal cancer, five healthy).
- Measurement of average speaking fundamental frequency (SFF), SFF variability, and jitter (percent and magnitude) during sustained vowels and sentence reading.
- Application of discriminant function analysis to differentiate between the two groups.
Main Results:
- Voice perturbation factors (directional and magnitudinal jitter) during sustained vowels significantly discriminated between normal and laryngeal cancer talkers.
- Speaking fundamental frequency (SFF) and its variability during sentence reading enhanced the discriminant function.
Conclusions:
- Acoustic measures of voice perturbation, specifically jitter, show promise in differentiating laryngeal cancer patients from healthy individuals.
- Combined analysis of SFF and perturbation measures can improve the accuracy of voice-based differentiation in laryngeal pathology.