  A standard recipe for spoken language recognition is to apply a Gaussian
back-end to i-vectors. This ignores the uncertainty in the i-vector extraction,
which could be important especially for short utterances. A recent paper by
Cumani, Plchot and Fer proposes a solution to propagate that uncertainty into
the backend. We propose an alternative method of propagating the uncertainty.
