5 citations · 10 across the 5 of their papers we have counts for
6 papers
Toward Degradation-Robust Voice Conversion
Chien-yu Huang, Kai-Wei Chang, Hung-yi Lee
Any-to-any voice conversion technologies convert the vocal timbre of an utterance to any speaker even unseen during training. Although there have been several state-of-the-art any-…
Improving Cross-Lingual Reading Comprehension with Self-Training
Wei-Cheng Huang, Chien-yu Huang, Hung-yi Lee
Substantial improvements have been made in machine reading comprehension, where the machine answers questions based on a given context. Current state-of-the-art models even surpass…
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…
Utilizing Self-supervised Representations for MOS Prediction
Wei-Cheng Tseng, Chien-yu Huang, Wei-Tsung Kao +2
Speech quality assessment has been a critical issue in speech processing for decades. Existing automatic evaluations usually require clean references or parallel ground truth data,…
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…
Defending Your Voice: Adversarial Attack on Voice Conversion
Chien-yu Huang, Yist Y. Lin, Hung-yi Lee +1
Substantial improvements have been achieved in recent years in voice conversion, which converts the speaker characteristics of an utterance into those of another speaker without ch…