  A strengthened version of the central limit theorem for discrete random
variables is established, relying only on information-theoretic tools and
elementary arguments. It is shown that the relative entropy between the
standardised sum of $n$ independent and identically distributed lattice random
variables and an appropriately discretised Gaussian, vanishes as $n\to\infty$.
