The auralization can be an effective asset in the design of unmanned aerial vehicles (UAV) and urban air mobility vehicles, serving as a valuable resource in decision-making regarding the mitigation of noise-related issues. However, in order to be effective, the auralization must be perceptually accurate. During the process of auralization, a multirotor noise evaluation framework based on multidisciplinary principles was employed to model the periodical fluctuations in rotational speed. The subjective response test was utilized to evaluate synthesized UAV-like noise. The tests included participants becoming acquainted with different noise sources (ice-breaking), assessing participants' emotional responses to different noises (helicopter and UAV-like), and evaluating participants' ability to differentiate between measured and auralized sounds. Statistical analysis of the results of the subjective response test showed that the measured noise and the auralized noise were not identical, but were not perfectly indistinguishable. These results demonstrate the effectiveness of psychoacoustic methods and statistical analysis in the perceptual assessment of noise and validate a comprehensive rotor noise assessment framework based on a multidisciplinary approach.