PhD A thought the results showed that delta features were important and that the TIMIT-trained network generally performed best, though it was unclear whether its advantage came from language or hand labeling. They also observed that neural networks helped on the target task or with poorly normalized features, but could hurt when trained on a different task; combining MSG with PLP did not improve the Italian results.