You just multiply. Yeah. Yep. You modify the Gaussian in the model , but in the  in the test data you would have to put it in the power , but in a training what you c in a training uh  in trained model , all you would have to do is to multiply a model by appropriate constant.
Uh - huh. But why  if you 're  if you 're multi if you 're altering the model , why w in the test data , why would you have to muck with the uh cepstral coefficients ?
Because in uh test  in uh test data you ca don't have a model. You have uh only data. But in a  in a tr
No. But you 're running your data through that same model.