When flying robots are used in close-range interaction with humans, the noise they generate, also called consequential sound, is a critical parameter for user acceptance. We conjecture that there is a benefit in adding natural sounds to noisy domestic drones. To test our hypothesis experimentally, we carried out a mixed-methods research study (N=56) on reported user perception of a sonified domestic flying robot with three sound conditions at three distances. The natural sounds studied were respectively added to the robot’s inherent noises during flying; namely a
bird
song and a
rain
sound, plus a control condition of no added sound. The distances studied were set according to proxemics; namely
near
,
middle
, and
far
. Our results show that adding
bird
song or
rain
sound affects the participants’ perceptions, and the proxemic distances play a nonnegligible role. For instance, we found that participants liked the
bird
condition the most when the drone was at
far
, while they disliked the same sound the most when at
near
. We also found that participants’ perceptions strongly depended on their associations and interpretations deriving from previous experience. We derived six concrete design recommendations.