10 citations · 23 across the 8 of their papers we have counts for
8 papers
Learning Noise-independent Speech Representation for High-quality Voice Conversion for Noisy Target Speakers
Liumeng Xue, Shan Yang, Na Hu +2
Building a voice conversion system for noisy target speakers, such as users providing noisy samples or Internet found data, is a challenging task since the use of contaminated spee…
VCVTS: Multi-speaker Video-to-Speech synthesis via cross-modal knowledge transfer from voice conversion
Disong Wang, Shan Yang, Dan Su +3
Though significant progress has been made for speaker-dependent Video-to-Speech (VTS) synthesis, little attention is devoted to multi-speaker VTS that can map silent video to speec…
Referee: Towards reference-free cross-speaker style transfer with low-quality data for expressive speech synthesis
Songxiang Liu, Shan Yang, Dan Su +1
Cross-speaker style transfer (CSST) in text-to-speech (TTS) synthesis aims at transferring a speaking style to the synthesised speech in a target speaker's voice. Most previous CSS…
Glow-WaveGAN: Learning Speech Representations from GAN-based Variational Auto-Encoder For High Fidelity Flow-based Speech Synthesis
Jian Cong, Shan Yang, Lei Xie +1
Current two-stage TTS framework typically integrates an acoustic model with a vocoder -- the acoustic model predicts a low resolution intermediate representation such as Mel-spectr…
Controllable Context-aware Conversational Speech Synthesis
Jian Cong, Shan Yang, Na Hu +3
In spoken conversations, spontaneous behaviors like filled pause and prolongations always happen. Conversational partner tends to align features of their speech with their interloc…
Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial Training
Haohan Guo, Heng Lu, Na Hu +5
This paper describes an end-to-end adversarial singing voice conversion (EA-SVC) approach. It can directly generate arbitrary singing waveform by given phonetic posteriorgram (PPG)…