Deep Extractor Network for Target Speaker Recovery from Single Channel Speech Mixtures. - Jun Wang 091; Jie Chen 057; Dan Su 002; Lianwu Chen; Meng Yu 003; Yanmin Qian; Dong Yu 001 (INTERSPEECH, 2018)

Improving Attention Based Sequence-to-Sequence Models for End-to-End English Conversational Speech Recognition. - Chao Weng; Jia Cui; Guangsen Wang; Jun Wang 091; Chengzhu Yu; Dan Su 002; Dong Yu 001 (INTERSPEECH, 2018)

Improving Attention-Based End-to-End ASR Systems with Sequence-Based Loss Functions. - Jia Cui; Chao Weng; Guangsen Wang; Jun Wang 091; Peidong Wang; Chengzhu Yu; Dan Su 002; Dong Yu 001 (SLT, 2018)

Learning Discriminative Features in Sequence Training without Requiring Framewise Labelled Data. - Jun Wang 091; Dan Su 002; Jie Chen 057; Shulin Feng; Dongpeng Ma; Na Li 012; Dong Yu 001 (ICASSP, 2019)

Extract, Adapt and Recognize: An End-to-End Neural Network for Corrupted Monaural Speech Recognition. - Max W. Y. Lam; Jun Wang 091; Xunying Liu; Helen Meng; Dan Su 002; Dong Yu 001 (INTERSPEECH, 2019)

Mixup-breakdown: A Consistency Training Method for Improving Generalization of Speech Separation Models. - Max W. Y. Lam; Jun Wang 091; Dan Su 002; Dong Yu 001 (ICASSP, 2020)

Learning Better Speech Representations by Worsening Interference. - Jun Wang 091 (INTERSPEECH, 2020)

Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect. - Jun Wang 091; Max W. Y. Lam; Dan Su 002; Dong Yu 001 (AAAI, 2021)

Sandglasset: A Light Multi-Granularity Self-Attentive Network for Time-Domain Speech Separation. - Max W. Y. Lam; Jun Wang 091; Dan Su 002; Dong Yu 001 (ICASSP, 2021)

Contrastive Separative Coding for Self-Supervised Representation Learning. - Jun Wang 091; Max W. Y. Lam; Dan Su 002; Dong Yu 001 (ICASSP, 2021)

Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition. - Max W. Y. Lam; Jun Wang 091; Chao Weng; Dan Su 002; Dong Yu 001 (Interspeech, 2021)

Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks. - Max W. Y. Lam; Jun Wang 091; Dan Su 002; Dong Yu 001 (SLT, 2021)

Bilateral Denoising Diffusion Models. - Max W. Y. Lam; Jun Wang 091; Rongjie Huang 001; Dan Su 002; Dong Yu 001 (CoRR, 2021)

BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis. - Max W. Y. Lam; Jun Wang 091; Dan Su 002; Dong Yu 001 (ICLR, 2022)

FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis. - Rongjie Huang 001; Max W. Y. Lam; Jun Wang 091; Dan Su 002; Dong Yu 001; Yi Ren 006; Zhou Zhao 001 (IJCAI, 2022)

Trinet: Stabilizing Self-Supervised Learning From Complete or Slow Collapse. - Lixin Cao; Jun Wang 091; Ben Yang; Dan Su 002; Dong Yu 001 (ICASSP, 2023)