22 citations · 54 across the 4 of their papers we have counts for
4 papers
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…