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Gate Activation Signal Analysis for Gated Recurrent Neural Networks and Its Correlation with Phoneme Boundaries

Research paper by Yu-Hsuan Wang, Cheng-Tao Chung, Hung-yi Lee

Indexed on: 22 Mar '17Published on: 22 Mar '17Published in: arXiv - Computer Science - Sound



Abstract

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.