We hypothesized that acoustic measures would predict dysphonic severit
y with differential results for pathological voice types. An instructi
onal program based upon synthesized voice signals was developed to fac
ilitate an awareness of prototypical voice types. Eighty phonatory ,sa
mples representing normal subjects as well as patients with unilateral
vocal fold paralysis, vocal nodules, and functional dysphonia were an
alyzed acoustically on the basis of four measures: average fundamental
frequency (F-0), jitter, shimmer, and harmonic/noise ratio (H/N ratio
). Following training, 29 listeners classified 62% of the phonatory sa
mples on the basis of breathy, hoarse, rough, and normal, Dysphonic se
verity of rough voices was predicted more successfully by H/N ratio (r
(2) = .73) than by shimmer (r(2) = .43). Dysphonic severity of breathy
voices was predicted only by the combined features of less jitter, mo
re shimmer, and lower H/N ratio (r(2) = .74). NO combination of acoust
ic variables was successful in the prediction of the hoarse voice type
.