7 citations · 8 across the 6 of their papers we have counts for
Showing cs.SDShow all
3 papers · 1 filter
cs.SD2022★ 1 cited
Noise-robust voice conversion with domain adversarial training
Hongqiang Du, Lei Xie, Haizhou Li
Voice conversion has made great progress in the past few years under the studio-quality test scenario in terms of speech quality and speaker similarity. However, in real applicatio…
cs.SD2021
Improving robustness of one-shot voice conversion with deep discriminative speaker encoder
Hongqiang Du, Lei Xie
One-shot voice conversion has received significant attention since only one utterance from source speaker and target speaker respectively is required. Moreover, source speaker and…
cs.SD2020
Optimizing voice conversion network with cycle consistency loss of speaker identity
Hongqiang Du, Xiaohai Tian, Lei Xie +1
We propose a novel training scheme to optimize voice conversion network with a speaker identity loss function. The training scheme not only minimizes frame-level spectral loss, but…