KyleZhang1118 / Voice-Separation-and-Enhancement

A framework for quick testing and comparing multi-channel speech enhancement and separation methods, such as DSB, MVDR, LCMV, GEVD beamforming and ICA, FastICA, IVA, AuxIVA, OverIVA, ILRMA, FastMNMF.
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the reason FastMNMF2 is not good ---- remove sqrt() #3

Open qiansichong opened 3 years ago

qiansichong commented 3 years ago

https://github.com/KyleZhang1118/Voice-Separation-and-Enhancement/blob/4e98a2a6cb7d860cabe0b4cb2c2c8c122a11bb52/Process_FastMNMF2.m#L104

KyleZhang1118 commented 3 years ago

Sorry I just noticed your issue and really thanks for your correction. It's indeed a mistake. The idea of jointly-diagonaliztion seems good to model the reverberation, but the performance of FastMNMF is not ideal compared to the results in published paper. It is really confused.