arXiv Open Access 2017

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

Yu-Hsuan Wang Cheng-Tao Chung Hung-yi Lee

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Abstrak

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.

Topik & Kata Kunci

cs.SD cs.CL cs.LG

Penulis (3)

Yu-Hsuan Wang

Cheng-Tao Chung

Hung-yi Lee

Format Sitasi

APA MLA BibTeX

Wang, Y., Chung, C., Lee, H. (2017). Gate Activation Signal Analysis for Gated Recurrent Neural Networks and Its Correlation with Phoneme Boundaries. https://arxiv.org/abs/1703.07588

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Informasi Jurnal

Tahun Terbit: 2017
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓