Famous datasets that fits well with Mixture Models

Question

I am looking for some "famous" (i.e. citable as a paper) datasets that has been successfully fitted by a Mixture Model of any kind. Ideally, it would be better if such paper also have a link to a github repository with the code used to run the experiments.

Answer 1

As today, I have found:

• Speaker verification (Thanks to this link):
  • Douglas A. Reynolds, Thomas F. Quatieri, and Robert B. Dunn, “Speaker Verification Using Adapted Gaussian Mixture Models”, M.I.T. Lincoln Laboratory, 2000
  • Najim Dehak et al., “Front end Factor Analysis for Speaker Verification”, IEEE transaction on Audio, Speech and Language Processing, 2010
  • Github Repo: here