  A novel multi-channel artificial wind noise generator based on a fluid
dynamics model, namely the Corcos model, is proposed. In particular, the model
is used to approximate the complex coherence function of wind noise signals
measured with closely-spaced microphones in the free-field and for
time-invariant wind stream direction and speed. Preliminary experiments focus
on a spatial analysis of recorded wind noise signals and the validation of the
Corcos model for diverse measurement set-ups. Subsequently, the Corcos model is
used to synthetically generate wind noise signals exhibiting the desired
complex coherence. The multi-channel generator is designed extending an
existing single-channel generator to create N mutually uncorrelated signals,
while the predefined complex coherence function is obtained exploiting an
algorithm developed to generate multi-channel non-stationary noise signals
under a complex coherence constraint. Temporal, spectral and spatial
characteristics of synthetic signals match with those observed in measured wind
noise. The artificial generation overcomes the time-consuming challenge of
collecting pure wind noise samples for noise reduction evaluations and provides
flexibility in the number of generated signals used in the simulations.
