Acoustic signatures of aerodynamic and power transmission noise sources are very different. Special combination of sound quality metrics is needed to explain their combined effect. To study this problem more in-depth, the rotorcraft passenger cabin noise example is analyzed as it is dominated by both types of responses. The aim of this study is to identify which class of metrics is the best quality predictor for sound fields with combined aerodynamic and power transmission responses. To achieve this goal, a series of jury evaluation tests based on the paired comparison analysis are performed on a wide variety of rotorcraft interior sounds as stimuli. At the same time, various new and existing sound quality metrics were computed from the measured sound data. A multivariate regression analysis was applied to determine a suitable predictor model that correlates well with the normalized mean jury preference scores. The results, not only provided a better understanding of the controlling attributes in the combined aerodynamic and power transmission sound field, it can be used as a guide to identify the class of metrics that provides a reliable measure of subjective response.