PhD A thought the results showed that delta features were important and that the TIMIT-trained network performed best so far. They cautioned that it was unclear why TIMIT performed better, since language and hand-labeling quality could both explain the difference. They also observed that MLPs helped when trained on the target task but could hurt performance on different tasks, while MSG added little for Italian.