6 citations · 11 across the 5 of their papers we have counts for
4 papers · 1 filter
Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech
Chung-Ming Chien, Jheng-Hao Lin, Chien-yu Huang +2
The few-shot multi-speaker multi-style voice cloning task is to synthesize utterances with voice and speaking style similar to a reference speaker given only a few reference sample…
S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations
Jheng-hao Lin, Yist Y. Lin, Chung-Ming Chien +1
Any-to-any voice conversion (VC) aims to convert the timbre of utterances from and to any speakers seen or unseen during training. Various any-to-any VC approaches have been propos…
How Far Are We from Robust Voice Conversion: A Survey
Tzu-hsien Huang, Jheng-hao Lin, Chien-yu Huang +1
Voice conversion technologies have been greatly improved in recent years with the help of deep learning, but their capabilities of producing natural sounding utterances in differen…
FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and Fusing Fine-Grained Voice Fragments With Attention
Yist Y. Lin, Chung-Ming Chien, Jheng-Hao Lin +2
Any-to-any voice conversion aims to convert the voice from and to any speakers even unseen during training, which is much more challenging compared to one-to-one or many-to-many ta…