activity
20182023
most citedDurIAN: Duration Informed Attention Network For Multimodal Synthesis

94 citations · 196 across the 19 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

cs.SD2020★ 10 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★ 22 cited

TFGAN: Time and Frequency Domain Based Generative Adversarial Network for High-fidelity Speech Synthesis

Qiao Tian, Yi Chen, Zewang Zhang +4

Recently, GAN based speech synthesis methods, such as MelGAN, have become very popular. Compared to conventional autoregressive based methods, parallel structures based generators…

eess.AS2020★ 1 cited

FeatherTTS: Robust and Efficient attention based Neural TTS

Qiao Tian, Zewang Zhang, Chao Liu +5

Attention based neural TTS is elegant speech synthesis pipeline and has shown a powerful ability to generate natural speech. However, it is still not robust enough to meet the stab…

eess.AS2020★ 4 cited

Peking Opera Synthesis via Duration Informed Attention Network

Yusong Wu, Shengchen Li, Chengzhu Yu +4

Peking Opera has been the most dominant form of Chinese performing art since around 200 years ago. A Peking Opera singer usually exhibits a very strong personal style via introduci…

eess.AS2020★ 13 cited

DurIAN-SC: Duration Informed Attention Network based Singing Voice Conversion System

Liqiang Zhang, Chengzhu Yu, Heng Lu +6

Singing voice conversion is converting the timbre in the source singing to the target speaker's voice while keeping singing content the same. However, singing data for target speak…

cs.SD2020★ 22 cited

AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN

Zewang Zhang, Qiao Tian, Heng Lu +2

This paper investigates how to leverage a DurIAN-based average model to enable a new speaker to have both accurate pronunciation and fluent cross-lingual speaking with very limited…

cs.SD2020★ 9 cited

FeatherWave: An efficient high-fidelity neural vocoder with multi-band linear prediction

Qiao Tian, Zewang Zhang, Heng Lu +2

In this paper, we propose the FeatherWave, yet another variant of WaveRNN vocoder combining the multi-band signal processing and the linear predictive coding. The LPCNet, a recentl…