Jun Wang

According to our database, Jun Wang authored at least 15 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis.

Rongjie Huang, Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu, Yi Ren, Zhou Zhao

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis.

Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Bilateral Denoising Diffusion Models.

Max W. Y. Lam, Jun Wang, Rongjie Huang, Dan Su, Dong Yu

CoRR, 2021

Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks.

Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition.

Max W. Y. Lam, Jun Wang, Chao Weng, Dan Su, Dong Yu

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Contrastive Separative Coding for Self-Supervised Representation Learning.

Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu

Proceedings of the IEEE International Conference on Acoustics, 2021

Sandglasset: A Light Multi-Granularity Self-Attentive Network for Time-Domain Speech Separation.

Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu

Proceedings of the IEEE International Conference on Acoustics, 2021

Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect.

Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning Better Speech Representations by Worsening Interference.

Jun Wang

Proceedings of the Interspeech 2020, 2020

Mixup-breakdown: A Consistency Training Method for Improving Generalization of Speech Separation Models.

Max W. Y. Lam, Jun Wang, Dan Su, Dong Yu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Extract, Adapt and Recognize: An End-to-End Neural Network for Corrupted Monaural Speech Recognition.

Max W. Y. Lam, Jun Wang, Xunying Liu, Helen Meng, Dan Su, Dong Yu

Proceedings of the Interspeech 2019, 2019

Learning Discriminative Features in Sequence Training without Requiring Framewise Labelled Data.

Jun Wang, Dan Su, Jie Chen, Shulin Feng, Dongpeng Ma, Na Li, Dong Yu

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Improving Attention-Based End-to-End ASR Systems with Sequence-Based Loss Functions.

Jia Cui, Chao Weng, Guangsen Wang, Jun Wang, Peidong Wang, Chengzhu Yu, Dan Su, Dong Yu

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Improving Attention Based Sequence-to-Sequence Models for End-to-End English Conversational Speech Recognition.

Chao Weng, Jia Cui, Guangsen Wang, Jun Wang, Chengzhu Yu, Dan Su, Dong Yu

Proceedings of the Interspeech 2018, 2018

Deep Extractor Network for Target Speaker Recovery from Single Channel Speech Mixtures.

Jun Wang, Jie Chen, Dan Su, Lianwu Chen, Meng Yu, Yanmin Qian, Dong Yu

Proceedings of the Interspeech 2018, 2018