I recently started learning HMM and was wondering how do I go about using a model or similar thereof in which an observation is really a realization of the Gaussian distribution of the corresponding hidden states? (Each hidden state would correspond to a Gaussian distribution with unique mean, standard deviation,...)
I suppose the state transition probability doesn't have to be continuous.
Are there any models based on this? or similar to this?