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arXiv · 1808.02939

Towards Learning Fine-Grained Disentangled Representations from Speech

Yuan Gong·Christian Poellabauer
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Abstract

Learning disentangled representations of high-dimensional data is currently an active research area. However, compared to the field of computer vision, less work has been done for speech processing. In this paper, we provide a review of two representative efforts on this topic and propose the novel concept of fine-grained disentangled speech representation learning.

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BibTeXRIS

Yuan Gong, Christian Poellabauer. 2018-08-08. Towards Learning Fine-Grained Disentangled Representations from Speech. https://arxiv.org/abs/1808.02939

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