Purpose: We studied the role of gender in metacognition of voice emotion recognition ability (ERA), reflected by self-rated confidence (SRC). To this end, we guided our study in two approaches: first, by examining the role of gender in voice ERA and SRC independently and second, by looking for gender effects on the ERA association with SRC. Method: We asked 100 participants (50 men, 50 women) to interpret a set of vocal expressions portrayed by 30 actors (16 men, 14 women) as defined by their emotional meaning. Targets were 180 repetitive lexical sentences articulated in congruent emotional voices (anger, sadness, surprise, happiness, fear) and neutral expressions. Trial by trial, the participants were assigned retrospective SRC based on their emotional recognition performance. Results: A binomial generalized linear mixed model (GLMM) estimating ERA accuracy revealed a significant gender effect, with women encoders (speakers) yielding higher accuracy levels than men. There was no significant effect of the decoder's (listener's) gender. A second GLMM estimating SRC found a significant effect of encoder and decoder genders, with women outperforming men. Gamma correlations were significantly greater than zero for women and men decoders. Conclusions: In spite of varying interpretations of gender in each independent rating (ERA and SRC), our results suggest that both men and women decoders were accurate in their metacognition regarding voice emotion recognition. Further research is needed to study how individuals of both genders use metacognitive knowledge in their emotional recognition and whether and how such knowledge contributes to effective social communication.