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This paper described the PCG-AIID system for L3DAS22 challenge in Task 1: 3Dspeech enhancement in office reverberant environment. We proposed a two-stageframework to address multi-channel speech denoising and dereverberation. In thefirst stage, a multiple input and multiple output (MIMO) network is applied toremove background noise while maintaining the spatial characteristics ofmulti-channel signals. In the second stage, a multiple input and single output(MISO) network is applied to enhance the speech from desired direction andpost-filtering. As a result, our system ranked 3rd place in ICASSP2022 L3DAS22challenge and significantly outperforms the baseline system, while achieving3.2% WER and 0.972 STOI on the blind test-set.

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