Grammar Argumented LSTM Neural Networks with Note-Level Encoding for Music Composition. - Zheng Sun; Jiaqi Liu; Zewang Zhang; Jingwen Chen; Zhao Huo; Ching Hua Lee; Xiao Zhang (CoRR, 2016)

An Experimental Comparison of Deep Neural Networks for End-to-end Speech Recognition. - Zewang Zhang; Zheng Sun; Jiaqi Liu; Jingwen Chen; Zhao Huo; Xiao Zhang (CoRR, 2016)

Composing Music with Grammar Argumented Neural Networks and Note-Level Encoding. - Zheng Sun; Jiaqi Liu; Zewang Zhang; Jingwen Chen; Zhao Huo; Ching Hua Lee; Xiao Zhang (APSIPA, 2018)

Data Compression Scheme Based on Discrete Sine Transform and Lloyd-Max Quantization. - Chenwei Feng; Xianling Wang; Zewang Zhang (ICIIP, 2018)

The Tencent speech synthesis system for Blizzard Challenge 2020. - Qiao Tian 001; Zewang Zhang; Ling-Hui Chen; Heng Lu 004; Chengzhu Yu; Chao Weng; Dong Yu 001 (Blizzard Challenge / Voice Conversion Challenge, 2020)

FeatherWave: An Efficient High-Fidelity Neural Vocoder with Multi-Band Linear Prediction. - Qiao Tian 001; Zewang Zhang; Heng Lu 004; Ling-Hui Chen; Shan Liu 001 (INTERSPEECH, 2020)

AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN. - Zewang Zhang; Qiao Tian 001; Heng Lu 004; Ling-Hui Chen; Shan Liu 001 (CoRR, 2020)

FeatherTTS: Robust and Efficient attention based Neural TTS. - Qiao Tian 001; Chao Liu 030; Zewang Zhang; Heng Lu 004; Linghui Chen; Bin Wei; Pujiang He; Shan Liu 001 (SSW, 2021)

Zero-Shot Cross-Lingual Transfer Using Multi-Stream Encoder and Efficient Speaker Representation. - Yibin Zheng; Zewang Zhang; Xinhui Li; Wenchao Su; Li Lu (ICASSP, 2022)

WeSinger: Data-augmented Singing Voice Synthesis with Auxiliary Losses. - Zewang Zhang; Yibin Zheng; Xinhui Li; Li Lu (INTERSPEECH, 2022)

A multi-dimensional information sensing and monitoring system based on wearable devices. - Zewang Zhang; Heng Wang; Shigui Gong; Shiwen Li (AIMSCM, 2023)

WeSinger 2: Fully Parallel Singing Voice Synthesis via Multi-Singer Conditional Adversarial Training. - Zewang Zhang; Yibin Zheng; Xinhui Li; Li Lu (ICASSP, 2023)