Guochen Yu
Orcid: 0000-0002-7179-1044
According to our database1,
Guochen Yu
authored at least 25 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
TaBE: Decoupling spatial and spectral processing with Taylor's unfolding method in the beamspace domain for multi-channel speech enhancement.
Inf. Fusion, January, 2024
BAE-Net: a Low Complexity and High Fidelity Bandwidth-Adaptive Neural Network for Speech Super-Resolution.
Proceedings of the IEEE International Conference on Acoustics, 2024
Ks-Net: Multi-Band Joint Speech Restoration and Enhancement Network for 2024 ICASSP SSI Challenge.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
IEEE ACM Trans. Audio Speech Lang. Process., 2023
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023
TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
2022
DBT-Net: Dual-Branch Federative Magnitude and Phase Estimation With Attention-in-Attention Transformer for Monaural Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Filtering and Refining: A Collaborative-Style Framework for Single-Channel Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2022
CoRR, 2022
TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective.
CoRR, 2022
Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Band Speech Enhancement.
CoRR, 2022
DMF-Net: A decoupling-style multi-band fusion model for real-time full-band speech enhancement.
CoRR, 2022
Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Full-Band Speech Enhancement.
Proceedings of the 13th International Symposium on Chinese Spoken Language Processing, 2022
TaylorBeamformer: Learning All-Neural Beamformer for Multi-Channel Speech Enhancement from Taylor's Approximation Theory.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
TMGAN-PLC: Audio Packet Loss Concealment using Temporal Memory Generative Adversarial Network.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Low Complexity DOA Estimation Algorithms Based on Propagator for Massive MIMO Systems.
Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022
Dual-Branch Attention-In-Attention Transformer for Single-Channel Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2022
Joint Magnitude Estimation and Phase Recovery Using Cycle-In-Cycle GAN for Non-Parallel Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
A two-stage complex network using cycle-consistent generative adversarial networks for speech enhancement.
Speech Commun., 2021
Joint magnitude estimation and phase recovery using Cyle-in-cycle GAN for non-parallel speech enhancement.
CoRR, 2021
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
CycleGAN-based Non-parallel Speech Enhancement with an Adaptive Attention-in-attention Mechanism.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021
2020
Improved Relativistic Cycle-Consistent GAN With Dilated Residual Network and Multi-Attention for Speech Enhancement.
IEEE Access, 2020