The acoustic impact of wind turbines is currently hampering the societal acceptance and the deployment of green aeolian energy near dwellings. For this reason, an accurate physical and perceptual prediction of wind turbine noise is of crucial importance for the design and deployment of modern horizontal-axis wind turbines. In the present work, we discuss a novel methodology for the far-field propagation and auralization of wind turbine noise in complex rural environments. First, the sound sources are modelled analytically using a RANS-based Amiet’s theory, accounting for leading- and trailing-edge noise. Secondly, a geometrical ray-tracing solver is used to compute the multiple source-receiver paths and evaluate the directivity gain. The pressure time signal of the equivalent source is then reconstructed using spectral shaping synthesis. Finally, the Harmonoise ray-based method is used to apply the noise attenuation due to atmospheric absorption, ground barriers, ground effects, and meteorological conditions. Also, the varying propagation delay of each source-receiver path is implemented in the time domain using appropriate interpolation techniques. The obtained audio signals are evaluated for different listener locations and operating conditions of the wind turbine.