Will check later, but like you said, he is probably talking about an estimate (hence empirical). Gaussian distribution is is not involving discrete variables, hence you need an integral to define the non-empirical variance. So, everything with a “sum” is empirical as it is over a sample.
But in any case, this is beside the main point you raise with the 1/(n-1) term.