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The PCG-AIID System for L3DAS22 Challenge: MIMO and MISO convolutional
  recurrent Network for Multi Channel Speech Enhancement and Speech Recognition

The PCG-AIID System for L3DAS22 Challenge: MIMO and MISO convolutional recurrent Network for Multi Channel Speech Enhancement and Speech Recognition

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
21 February 2022
Jingdong Li
Yuanyuan Zhu
Dawei Luo
Yun Liu
Guohui Cui
Zhaoxia Li
ArXiv (abs)PDFHTML

Papers citing "The PCG-AIID System for L3DAS22 Challenge: MIMO and MISO convolutional recurrent Network for Multi Channel Speech Enhancement and Speech Recognition"

3 / 3 papers shown
Data-independent Beamforming for End-to-end Multichannel Multi-speaker ASR
Data-independent Beamforming for End-to-end Multichannel Multi-speaker ASR
Can Cui
P. Magron
M. Sadeghi
Emmanuel Vincent
122
0
0
12 Sep 2025
A General Unfolding Speech Enhancement Method Motivated by Taylor's
  Theorem
A General Unfolding Speech Enhancement Method Motivated by Taylor's TheoremIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Andong Li
Guochen Yu
C. Zheng
Wenzhe Liu
Xiaodong Li
283
21
0
30 Nov 2022
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech
  Separation
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech SeparationIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Zhongqiu Wang
Samuele Cornell
Shukjae Choi
Younglo Lee
Byeonghak Kim
Shinji Watanabe
312
202
0
22 Nov 2022
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