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

arXiv: https://arxiv.org/abs/1703.07588 · HTML: https://mlsanity.com/paper/1703.07588/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Mar 2017.

## Built on by (most cited first, 9 of 9)

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- [Learning Phone Recognition from Unpaired Audio and Phone Sequences Based on Generative Adversarial Network](https://mlsanity.com/paper/2207.14568/) (2022)

## Abstract (arXiv)

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.