# Towards Learning Fine-Grained Disentangled Representations from Speech

**Authors:** Yuan Gong, Christian Poellabauer  
**arXiv:** [1808.02939](https://arxiv.org/abs/1808.02939)  
**Date:** 2018-08-08  
**Summary page:** https://www.summarizepaper.com/fr/paper/1808.02939v1/

## 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.