The models that employ a DA connection to compute the attention signal (HA-RNN, woUt-tRNN, woHid2Attn, woConvRNN) show a slight improvement in accuracy when using the correct DA as input, instead of the predicted DA.
wDA2DA shows large improvements when using the correct DA (3.5% on Switchboard and 6.8% on MapTask), becoming the best-performing model for both datasets.