  In this paper we analyze the gate activation signals inside the gated
recurrent neural networks, and find the temporal structure of such signals is
highly correlated with the phoneme boundaries. This correlation is further
verified by a set of experiments for phoneme segmentation, in which better
results compared to standard approaches were obtained.
