12 citations · 38 across the 14 of their papers we have counts for
4 papers · 1 filter
UniSyn: An End-to-End Unified Model for Text-to-Speech and Singing Voice Synthesis
Yi Lei, Shan Yang, Xinsheng Wang +4
Text-to-speech (TTS) and singing voice synthesis (SVS) aim at generating high-quality speaking and singing voice according to textual input and music scores, respectively. Unifying…
SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of Experts
Zhao You, Shulin Feng, Dan Su +1
Recently, Mixture of Experts (MoE) based Transformer has shown promising results in many domains. This is largely due to the following advantages of this architecture: firstly, MoE…
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)…
Non-Autoregressive Transformer ASR with CTC-Enhanced Decoder Input
Xingchen Song, Zhiyong Wu, Yiheng Huang +3
Non-autoregressive (NAR) transformer models have achieved significantly inference speedup but at the cost of inferior accuracy compared to autoregressive (AR) models in automatic s…