Reliability and Task Effects in CAPE-V Auditory-Perceptual Voice Assessments: Insights From the PVQD Subset.

OBJECTIVES

This study aimed to evaluate the inter- and intra-rater reliability of consensus auditory-perceptual evaluation of voice (CAPE-V) auditory-perceptual ratings and explore task-specific differences (sustained vowels versus sentences) in ratings and reliability.

STUDY DESIGN

Cross-sectional reliability study using a curated subset of dysphonic voice samples (PVQD).

METHODS

Thirty voice samples representing varying dysphonia severities were selected from the Perceptual Voice Qualities Database. Eight Quebecois speech-language pathologists (SLPs) rated the samples using the CAPE-V protocol on the Bridge2Practice platform. Ratings included six vocal features on a visual analog scale (VAS) and binary consistency (C/I) judgments. Reliability was assessed using intra-class correlation coefficients (ICCs) for VAS ratings and Gwet's AC1 for C/I ratings. Task effects were analyzed using Wilcoxon signed-rank tests and Spearman correlations.

RESULTS

Overall severity ratings demonstrated good inter-rater reliability for both vowels (ICC = 0.79) and sentences (ICC = 0.87). Pitch and loudness ratings showed low inter-rater reliability (ICCs < 0.5) across tasks. Vowels were rated as more impaired for most features, except strain, which showed higher impairment on sentences. Inter-rater reliability was higher for roughness and breathiness on vowels, whereas strain showed better reliability on sentences. Intra-rater reliability was consistently higher on sentences for all features (ICCs > 0.75 for most). Consistency ratings were more reliable on vowels than sentences for most features, except loudness.

CONCLUSIONS

Task type significantly impacts CAPE-V ratings and their reliability. Vowels provided higher inter-rater reliability for roughness and breathiness, while sentences yielded better intra-rater consistency and strain reliability. These findings highlight the need for ongoing refinement of assessment tools and training protocols to ensure accurate and reliable voice evaluations.