22 citations · 78 across the 8 of their papers we have counts for
8 papers
WeSinger 2: Fully Parallel Singing Voice Synthesis via Multi-Singer Conditional Adversarial Training
Zewang Zhang, Yibin Zheng, Xinhui Li +1
This paper aims to introduce a robust singing voice synthesis (SVS) system to produce very natural and realistic singing voices efficiently by leveraging the adversarial training s…
WeSinger: Data-augmented Singing Voice Synthesis with Auxiliary Losses
Zewang Zhang, Yibin Zheng, Xinhui Li +1
In this paper, we develop a new multi-singer Chinese neural singing voice synthesis (SVS) system named WeSinger. To improve the accuracy and naturalness of synthesized singing voic…
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…
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…
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…
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…
Deep Recurrent Convolutional Neural Network: Improving Performance For Speech Recognition
Zewang Zhang, Zheng Sun, Jiaqi Liu +3
A deep learning approach has been widely applied in sequence modeling problems. In terms of automatic speech recognition (ASR), its performance has significantly been improved by i…
Composing Music with Grammar Argumented Neural Networks and Note-Level Encoding
Zheng Sun, Jiaqi Liu, Zewang Zhang +4
Creating aesthetically pleasing pieces of art, including music, has been a long-term goal for artificial intelligence research. Despite recent successes of long-short term memory (…