activity
20182022
most citedTFGAN: Time and Frequency Domain Based Generative Adversarial Network for High-fidelity Speech Synthesis

22 citations · 95 across the 12 of their papers we have counts for

collaborators

15 papers

cs.SD2022

Improving Cross-lingual Speech Synthesis with Triplet Training Scheme

Jianhao Ye, Hongbin Zhou, Zhiba Su +4

Recent advances in cross-lingual text-to-speech (TTS) made it possible to synthesize speech in a language foreign to a monolingual speaker. However, there is still a large gap betw…

eess.AS2022

The USTC-Ximalaya system for the ICASSP 2022 multi-channel multi-party meeting transcription (M2MeT) challenge

Maokui He, Xiang Lv, Weilin Zhou +8

We propose two improvements to target-speaker voice activity detection (TS-VAD), the core component in our proposed speaker diarization system that was submitted to the 2022 Multi-…

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.AS202022 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.AS20201 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.AS20204 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…