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Multi-Microphone Complex Spectral Mapping for Speech Dereverberation
[article]
2020
arXiv
pre-print
This study proposes a multi-microphone complex spectral mapping approach for speech dereverberation on a fixed array geometry. In the proposed approach, a deep neural network (DNN) is trained to predict the real and imaginary (RI) components of direct sound from the stacked reverberant (and noisy) RI components of multiple microphones. We also investigate the integration of multi-microphone complex spectral mapping with beamforming and post-filtering. Experimental results on multi-channel
arXiv:2003.01861v1
fatcat:7yaudakexrddzcyq5gpbm6flka