8 citations · 12 across the 10 of their papers we have counts for
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Determined blind source separation via modeling adjacent frequency band correlations in speech signals
Jianyu Wang, Shanzheng Guan, Zhengqiao Zhao +2
Multichannel blind source separation (MBSS), which focuses on separating signals of interest from mixed observations, has been extensively studied in acoustic and speech processing…
Determined Blind Source Separation with Sinkhorn Divergence-based Optimal Allocation of the Source Power
Jianyu Wang, Shanzheng Guan, Nicolas Dobigeon +1
Blind source separation (BSS) refers to the process of recovering multiple source signals from observations recorded by an array of sensors. Common approaches to BSS, including ind…
Determined Multichannel Blind Source Separation with Clustered Source Model
Jianyu Wang, Shanzheng Guan
The independent low-rank matrix analysis (ILRMA) method stands out as a prominent technique for multichannel blind audio source separation. It leverages nonnegative matrix factoriz…
Multichannel blind speech source separation with a disjoint constraint source model
Jianyu Wang, Shanzheng Guan
Multichannel convolutive blind speech source separation refers to the problem of separating different speech sources from the observed multichannel mixtures without much a priori i…
Independent low-rank matrix analysis based on the Sinkhorn divergence source model for blind source separation
Jianyu Wang, Shanzheng Guan, Jingdong Chen +1
The so-called independent low-rank matrix analysis (ILRMA) has demonstrated a great potential for dealing with the problem of determined blind source separation (BSS) for audio and…
Minimum-volume Multichannel Nonnegative matrix factorization for blind source separation
Jianyu Wang, Shanzheng Guan, Shupei Liu +1
Multichannel blind audio source separation aims to recover the latent sources from their multichannel mixtures without supervised information. One state-of-the-art blind audio sour…