PhD A thought the results showed that delta features were important and that the TIMIT-trained network performed best overall. They also observed that MLPs helped when trained on the target task but could reduce accuracy when trained on different data, and that MSG added little for Italian. They felt there was not yet enough evidence to explain the language and noise effects confidently.