Towards Learning Fine-Grained Disentangled Representations from Speech
August 08, 2018 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Yuan Gong, Christian Poellabauer
arXiv ID
1808.02939
Category
cs.SD: Sound
Cross-listed
cs.CL,
cs.LG,
eess.AS
Citations
6
Venue
arXiv.org
Last Checked
3 months ago
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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