Acoustic Metrics of the Strain Dimension of Voice Quality: A Scoping Review.
Chia-Hsin Wu, Lady Catherine Cantor-Cutiva, Eric J Hunter
PMID 40908240WHAT IT FOUND
No single acoustic measure reliably identifies vocal strain.
Spectral sharpness and relative fundamental frequency show promise but lack specificity. Clinicians should use multiple acoustic metrics alongside perceptual ratings to assess strain, rather than relying on one instrument.
Key findings
01No single acoustic measure demonstrated consistent predictive value for vocal strain across all studies.
02Spectral sharpness and relative fundamental frequency (RFF) appear most promising in reflecting strain-related changes when considered alongside perceptual impressions.
03Cepstral peak prominence (CPP) findings are contradictory, with some studies reporting strong negative correlations and others strong positive correlations with perceived strain.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
Read the rest of this summary
You get three full summaries a month, free, and we do not ask for a card. Search, the TL;DRs and your library stay unlimited either way.
What it does not show
The review included only 13 studies, which is a small sample for drawing broad conclusions. Methodological quality was low, with 10 of 13 studies rated as having weak study designs. There was significant variability in how strain was defined and measured across studies, including different perceptual scales and speech samples. Most studies did not control for co-occurring voice qualities like breathiness and roughness, making it difficult to isolate strain-specific acoustic signatures. The review focused on adult voices, so findings may not generalize to pediatric populations.
Declared interests
The authors declare no known competing financial interests or personal relationships.
The easy way to misread this
Do not assume that a single acoustic measure, such as CPP, can accurately diagnose vocal strain. The review found contradictory results for CPP and noted that most acoustic measures overlap with other voice qualities like roughness and breathiness, meaning they lack the specificity to serve as standalone diagnostic tools.
Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →