Acoustic and Psychoacoustic Analyses of Predominant Strain Elicited via Modulated Vocal Effort.
Shaheen N Awan, Yeonggwang Park, Supraja Anand and 2 others
PMID 40210528WHAT IT FOUND
When people with normal voices produced strain by imagining lifting heavy boxes, a computer measure called 'sharpness' tracked the strain better than any other acoustic metric.
It successfully separated mild strain from severe strain, whereas common measures like jitter and cepstral peaks failed to distinguish the levels.
Key findings
01Spectral sharpness was the only measure that significantly differentiated between typical voice, intermediate strain, and maximal strain.
02Perceived strain correlated most strongly with sharpness (r_s = 0.604), followed by the low-to-high spectral ratio (r_s = 0.394 to 0.406).
03Common measures like cepstral peak prominence (CPP) and pitch strength failed to distinguish between the different levels of strain severity.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
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What it does not show
The study used healthy young adults simulating strain, not patients with actual voice disorders, so the acoustic patterns may differ in clinical populations. Although the goal was to isolate strain, about 10-13% of the participants produced increased breathiness or roughness along with the strain. Female participants produced higher strain ratings than males, though the difference was small. The order of voice productions was not randomized (typical, then maximal, then intermediate) to avoid fatigue, which could introduce order effects.
Declared interests
One author licenses the algorithms for the ADSV software used in the study to PENTAX Medical.
The easy way to misread this
Do not assume that a normal cepstral peak prominence (CPP) score rules out vocal strain. This study found that CPP was a poor discriminator of strain severity, whereas spectral sharpness was the most sensitive measure.