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README.md

Notes

The python version of scripts now perfermance badly(may have some logical errors), please refer to apply_cgmm_beamforming.m, which works ok.

Update: Newest version in cgmm-mask-estimator

Usage

install voicebox for MATLAB first.

copy run_cgmm_beamforming.sh and apply_cgmm_beamforming.m to local/, then run followings instead of baseline local/run_beamform_6ch_track.sh commands

local/run_cgmm_beamforming.sh --nj 15 $chime4_data/data/audio/16kHz/isolated_6ch_track/ $enhancement_data

Results

  • 6ch
Methods dev-simu dev-real eval-simu eval-real
Beamformit(SAT) 14.36% 12.99% 21.24% 21.55%
CGMM(SAT) 11.38% 11.30% 15.34% 17.27%
Beamformit(DNN) 10.29% 9.59% 15.79% 16.73%
CGMM(DNN) 7.69% 8.40% 10.82% 13.51%
Beamformit(sMBR) 9.11% 8.46% 14.54% 15.07%
CGMM(sMBR) 6.88% 7.58% 10.15% 12.12%

Reference

T. Higuchi, N. Ito, T. Yoshioka, and T. Nakatani, "Robust mvdr beamforming using time-frequency masks for online/offline asr in noise," in ICASSP, 2016.

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Implementation of the CGMM-MVDR beamforming

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