PhD A thought the results showed that delta features were important and that the TIMIT-trained network performed best across the tests so far. However, they felt there was not yet enough evidence to explain why: language differences, labeling quality, and noise could all affect the results. They also observed that MSG added little for Italian and that networks trained on a different task could reduce accuracy when the input features were already well normalized.