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multichannel linear filters based on mask estimation neural networks for CHiME4

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ZitengWang/nn_mask

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forked from https://github.com/fgnt/nn-gev , follow the instructions therein for installation

extentions: beamformers (MVDR, GEV, GEV-BAN, Variable Span, SDW-MWF, rank-1 MWF with different constraints ) used in Rank-1 Constrained Multichannel Wiener Filter for Speech Recognition in Noisy Environments and ON SDW-MWF AND VARIABLE SPAN LINEAR FILTER WITH APPLICATION TO SPEECH RECOGNITION IN NOISY ENVIRONMENTS

Recognition results, see RESULTS for all

CHiME4 official backend without LM rescore
et-simu et-real et-simu et-real
Noisy - - 14.15 23.52
WDAS 10.91 11.47 14.20 15.04
MVDR 5.93 7.30 8.70 10.31
GEV-BAN 6.29 7.25 9.17 10.48
GEV 6.98 7.14 10.01 10.53
MWF 10.81 12.92 12.54 16.16
VS-rank1 4.15 7.35 6.37 10.22
r1MWF-0 4.56 8.36 7.03 11.40
r1MWF-1 4.59 8.34 7.07 11.44
r1MWF-\mu_G 5.34 7.27 8.00 10.33
r1MWF-\mu_G-evd 5.17 6.51 7.63 9.25
r1MWF-\mu_G-gevd 4.68 6.03 6.87 8.74
gevd-SDW-MWF 4.39 7.38 - -
gevd-GEV-BAN 4.21 6.17 - -
gevd-GEV 4.65 5.93 - -

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multichannel linear filters based on mask estimation neural networks for CHiME4

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