This experiment investigated the role of acoustic correlates of the singing voice in the perception of broad affect dimensions using the two-dimensional model of affect. The dataset consisted of vocal and glottal recordings of a sung vowel interpreted in different singing expressions. Listeners were asked to rate the sounds according to four perceived affect dimensions. A cross-tabulation was done between the singing expressions and affect judgments. A one-way ANOVA was performed for 11 acoustic cues with the affect ratings. It was found that the singing power ratio (SPR), mean intensity, brightness, mean pitch, jitter, shimmer, mean harmonic-to-noise ratio (HNR), and mean autocorrelation discriminate broad affect dimensions. Principal component analysis (PCA) was performed on the acoustic correlates. Two components were retained that explained 78.1% of the total variance of vocal cues and 73.5% of that of the glottal cues.