Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices

European Association for Signal Processing (EUSIPCO) 2019 Kouhei SekiguchiAditya Arie NugrahaYoshiaki BandoKazuyoshi Yoshii

This paper describes a versatile method that accelerates multichannel source separation methods based on full-rank spatial modeling. A popular approach to multichannel source separation is to integrate a spatial model with a source model for estimating the spatial covariance matrices (SCMs) and power spectral densities (PSDs) of each sound source in the time-frequency domain... (read more)

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