From the videos I have seen that all the systhetic streams are less vivid than the training ones. I guess the smoothing effect of k-average is reason.

I wonder why they used ARMA. Isn't it similar to Markov process. And I think it make more sense to not put equal weights onto the past x(t) but rather a discount factor like, since more recent states should have more impacts on the current state?