  We study the probability that a real stationary Gaussian process has at least
$\eta T$ zeros in $[0,T]$ (overcrowding), or at most this number
(undercrowding). We show that if the spectral measure of the process is
supported on $\pm[B,A]$, overcrowding probability transitions from exponential
decay to Gaussian decay at $\eta=\tfrac{A}{\pi}$, while undercrowding
probability undergoes the reverse transition at $\eta=\tfrac{B}{\pi}$.
