activity
20162020
most citedVoice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks

151 citations · 312 across the 9 of their papers we have counts for

collaborators
Showing 2020Show all

1 paper · 1 filter

eess.AS2020★ 29 cited

Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion

Wen-Chin Huang, Hao Luo, Hsin-Te Hwang +4

An effective approach for voice conversion (VC) is to disentangle linguistic content from other components in the speech signal. The effectiveness of variational autoencoder (VAE)…