PhD A thought the results showed that delta features were important and that the TIMIT-trained network generally performed best. They observed that target-task training improved recognition, while networks trained on different tasks could hurt performance when features were well normalized. They also thought MSG added little for Italian, though they suspected a simple processing issue might explain its poor performance. They cautioned that more results were needed to separate language and noise effects from differences in labeling.