activity
20192021
most citedVARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention

15 citations · 27 across the 4 of their papers we have counts for

collaborators

6 papers

eess.AS2021

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…

cs.SD202115 cited

VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention

Peng Liu, Yuewen Cao, Songxiang Liu +4

This paper proposes VARA-TTS, a non-autoregressive (non-AR) text-to-speech (TTS) model using a very deep Variational Autoencoder (VDVAE) with Residual Attention mechanism, which re…

cs.SD202010 cited

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)…

eess.AS2020

FastSVC: Fast Cross-Domain Singing Voice Conversion with Feature-wise Linear Modulation

Songxiang Liu, Yuewen Cao, Na Hu +2

This paper presents FastSVC, a light-weight cross-domain singing voice conversion (SVC) system, which can achieve high conversion performance, with inference speed 4x faster than r…

eess.AS20202 cited

Transferring Source Style in Non-Parallel Voice Conversion

Songxiang Liu, Yuewen Cao, Shiyin Kang +5

Voice conversion (VC) techniques aim to modify speaker identity of an utterance while preserving the underlying linguistic information. Most VC approaches ignore modeling of the sp…

cs.CL2019

DurIAN: Duration Informed Attention Network For Multimodal Synthesis

Chengzhu Yu, Heng Lu, Na Hu +9

In this paper, we present a generic and robust multimodal synthesis system that produces highly natural speech and facial expression simultaneously. The key component of this syste…