A secondary path-decoupled active noise control algorithm based on deep learning D Chen, L Cheng, D Yao, J Li, Y Yan IEEE Signal Processing Letters 29, 234-238, 2021 | 20 | 2021 |
FSCNet: Feature-specific convolution neural network for real-time speech enhancement L Cheng, J Li, Y Yan IEEE Signal Processing Letters 28, 1958-1962, 2021 | 12 | 2021 |
An integrated multi-channel approach for joint noise reduction and dereverberation S Song, L Cheng, S Luan, D Yao, J Li, Y Yan Applied Acoustics 171, 107526, 2021 | 12 | 2021 |
Estimation reliability function assisted sound source localization with enhanced steering vector phase difference L Cheng, X Sun, D Yao, J Li, Y Yan IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 421-435, 2020 | 9 | 2020 |
An individualization approach for head-related transfer function in arbitrary directions based on deep learning D Yao, J Zhao, L Cheng, J Li, X Li, X Guo, Y Yan JASA Express Letters 2 (6), 2022 | 8 | 2022 |
The effect of source sparsity on independent vector analysis for blind source separation J Gu, L Cheng, D Yao, J Li, Y Yan Signal Processing 213, 109199, 2023 | 3 | 2023 |
Residual Echo and Noise Cancellation with Feature Attention Module and Multi-Domain Loss Function. J Gu, L Cheng, X Sun, J Li, Y Yan Interspeech, 1114-1118, 2021 | 3 | 2021 |
Dynamic Gated Recurrent Neural Network for Compute-efficient Speech Enhancement L Cheng, A Pandey, B Xu, T Delbruck, SC Liu arXiv preprint arXiv:2408.12425, 2024 | 1 | 2024 |
Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing Z Wang, L Cheng, J Ott, P Moure, SC Liu Proceedings of UniReps: the First Workshop on Unifying Representations in …, 2024 | | 2024 |
Exploiting symmetric temporally sparse BPTT for efficient RNN training X Chen, C Gao, Z Wang, L Cheng, S Zhou, SC Liu, T Delbruck Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11399 …, 2024 | | 2024 |
Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning P Moure, L Cheng, J Ott, Z Wang, SC Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
A Novel Blind Source Separation Framework Towards Maximum Signal-To-Interference Ratio J Gu, L Cheng, D Yao, J Li, Y Yan arXiv preprint arXiv:2110.03272, 2021 | | 2021 |
The Source Model Towards Maximizing The Output Signal-To-Interference Ratio For Independent Vector Analysis. J Gu, L Cheng, J Li, Y Yan CoRR, 2021 | | 2021 |