22 citations · 23 across the 2 of their papers we have counts for
3 papers
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.AS2018
Generative Adversarial Network based Speaker Adaptation for High Fidelity WaveNet Vocoder
Qiao Tian, Xucheng Wan, Shan Liu
Although state-of-the-art parallel WaveNet has addressed the issue of real-time waveform generation, there remains problems. Firstly, due to the noisy input signal of the model, th…