The other thing , uh , just to mention that Stephane  this was an innovation of Stephane 's , which was a pretty neat one , uh , and might particularly apply  here , given all these things we 're mentioning. Um , Stephane 's idea was that , um , discriminant , uh , approaches are great. Even the local ones , given , you know , these potential outer loops which , you know , you can convince yourself turn into the global ones. Um , however , there 's times when it  is not good. Uh , when  something about the test set is different enough from the training set that  that , uh , the discrimination that you 're learning is  is  is not a good one.
Mm - hmm.
So , uh , his idea was to take as the input feature vector to the , uh , Gaussian mixture system ,  uh , a concatenation of the neural net outputs and the regular features.
Oh , we already talked about that.