7 citations · 7 across the 5 of their papers we have counts for
5 papers
Preserving background sound in noise-robust voice conversion via multi-task learning
Jixun Yao, Yi Lei, Qing Wang +6
Background sound is an informative form of art that is helpful in providing a more immersive experience in real-application voice conversion (VC) scenarios. However, prior research…
IQDUBBING: Prosody modeling based on discrete self-supervised speech representation for expressive voice conversion
Wendong Gan, Bolong Wen, Ying Yan +6
Prosody modeling is important, but still challenging in expressive voice conversion. As prosody is difficult to model, and other factors, e.g., speaker, environment and content, wh…
Enriching Source Style Transfer in Recognition-Synthesis based Non-Parallel Voice Conversion
Zhichao Wang, Xinyong Zhou, Fengyu Yang +6
Current voice conversion (VC) methods can successfully convert timbre of the audio. As modeling source audio's prosody effectively is a challenging task, there are still limitation…
Accent and Speaker Disentanglement in Many-to-many Voice Conversion
Zhichao Wang, Wenshuo Ge, Xiong Wang +6
This paper proposes an interesting voice and accent joint conversion approach, which can convert an arbitrary source speaker's voice to a target speaker with non-native accent. Thi…
The IQIYI System for Voice Conversion Challenge 2020
Wendong Gan, Haitao Chen, Yin Yan +4
This paper presents the IQIYI voice conversion system (T24) for Voice Conversion 2020. In the competition, each target speaker has 70 sentences. We have built an end-to-end voice c…