PhD A thought the results showed that delta features were important and that the TIMIT-trained network performed best so far. They also observed that MLPs helped when trained on the target task, but could reduce accuracy on mismatched tasks when the input features were already well normalized. They felt it was too early to draw firm conclusions about language and noise dependence.