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Jheng-Hao Lin

2 accepted papers

2021

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, Hung-yi Lee, Lin-Shan Lee
ICASSP 2021accepted

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 tasks, but much more attractive in real-world scenarios. In this paper we proposed FragmentVC, in which the latent phoneti…

Cited by 0Source ↗Scholar ↗
2021

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, Po-Chun Hsu, Hung-yi Lee
ICASSP 2021accepted

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 samples. In this work, we investigate different speaker representations and proposed to integrate pretrained and learnable spe…

Cited by 0Source ↗Scholar ↗