Deep speaker embedding has demonstrated state-of-the-art performance in recognition tasks. However, one potential issue with this approach is that the vectors derived from deep models tend to be non-Gaussian for each individual speaker, and non-homogeneous distributions of different speakers. These irregular can seriously impact performance, especially popular PLDA scoring method, which assumes...