Jun Wang
Affiliations:- Tencent AI Lab, Shenzhen, China
According to our database1,
Jun Wang
authored at least 16 papers
between 2018 and 2023.
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Bibliography
2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis.
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks.
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.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Sandglasset: A Light Multi-Granularity Self-Attentive Network for Time-Domain Speech Separation.
Proceedings of the IEEE International Conference on Acoustics, 2021
Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Mixup-breakdown: A Consistency Training Method for Improving Generalization of Speech Separation Models.
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.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
Learning Discriminative Features in Sequence Training without Requiring Framewise Labelled Data.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
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.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Deep Extractor Network for Target Speaker Recovery from Single Channel Speech Mixtures.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018