9 citations · 24 across the 23 of their papers we have counts for
6 papers · 1 filter
U-Style: Cascading U-nets with Multi-level Speaker and Style Modeling for Zero-Shot Voice Cloning
Tao Li, Zhichao Wang, Xinfa Zhu +4
Zero-shot speaker cloning aims to synthesize speech for any target speaker unseen during TTS system building, given only a single speech reference of the speaker at hand. Although…
VITS-Based Singing Voice Conversion Leveraging Whisper and multi-scale F0 Modeling
Ziqian Ning, Yuepeng Jiang, Zhichao Wang +2
This paper introduces the T23 team's system submitted to the Singing Voice Conversion Challenge 2023. Following the recognition-synthesis framework, our singing conversion model is…
MSM-VC: High-fidelity Source Style Transfer for Non-Parallel Voice Conversion by Multi-scale Style Modeling
Zhichao Wang, Xinsheng Wang, Qicong Xie +4
In addition to conveying the linguistic content from source speech to converted speech, maintaining the speaking style of source speech also plays an important role in the voice co…
Text-to-Video: a Two-stage Framework for Zero-shot Identity-agnostic Talking-head Generation
Zhichao Wang, Mengyu Dai, Keld Lundgaard
The advent of ChatGPT has introduced innovative methods for information gathering and analysis. However, the information provided by ChatGPT is limited to text, and the visualizati…
LM-VC: Zero-shot Voice Conversion via Speech Generation based on Language Models
Zhichao Wang, Yuanzhe Chen, Lei Xie +2
Language model (LM) based audio generation frameworks, e.g., AudioLM, have recently achieved new state-of-the-art performance in zero-shot audio generation. In this paper, we explo…
Multi-level Temporal-channel Speaker Retrieval for Zero-shot Voice Conversion
Zhichao Wang, Liumeng Xue, Qiuqiang Kong +4
Zero-shot voice conversion (VC) converts source speech into the voice of any desired speaker using only one utterance of the speaker without requiring additional model updates. Typ…