1. An unmanned aerial vehicle (UAV) comprising: a frame; a plurality of motors mounted to the frame; a plurality of propellers, wherein each of the plurality of propellers is coupled to one of the plurality of motors; an audio speaker mounted to the frame; and a computing device having a memory and one or more computer processors, wherein the one or more computer processors are configured to at least: determine a position of the UAV; determine an environmental condition associated with the position; determine an operating characteristic of at least one of the plurality of motors or at least one of the plurality of propellers associated with the position; identify a first sound pressure level and a first frequency of a first noise associated with the UAV based at least in part on at least one of the position, the environmental condition, or the operating characteristic; identify a second sound pressure level and a second frequency of a second noise previously captured using the microphone; determine a prior position of the UAV when the second noise was captured; determine a prior environmental condition associated with the prior position when the second noise was captured; determine a prior operating characteristic of the at least one of the plurality of motors or at least one of the plurality of propellers associated with the prior position when the second noise was captured; train a machine learning system based at least in part on information regarding the second sound pressure level, the second frequency, the prior position, the prior environmental condition and the prior operating characteristic; define a sound model for the UAV using the trained machine learning system; and determine a third sound pressure level of an anti-noise and a third frequency of the anti-noise corresponding to the first noise according to the sound model, wherein the third sound pressure level is not greater than the first sound pressure level, and wherein the third frequency approximates the first frequency and is substantially one hundred eighty degrees out of phase with the first frequency; and emit the anti-noise from the audio speaker of the UAV.