In pattern recognition and machine learning from Bishop page 94 I checked that this formula is the variance of the maximum likelihood estimate of a Gaussian distribution.
The empirical variance is defined as I mentioned, because in the limit of N->infinite it will converge to the true variance definition… Empirical statistics are statistics computed over the empirical distribution, instead of the true one. You could see it as a monte carlo estimate of the true variance.