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Evaluation of Multichannel Hearing Aid System by Rank-Constrained Spatial Covariance Matrix Estimation., , , , , and . APSIPA, page 1874-1879. IEEE, (2019)Independent low-rank matrix analysis based on complex student's t-distribution for blind audio source separation., , , , , and . MLSP, page 1-6. IEEE, (2017)Maximum reconstruction probability training of Restricted Boltzmann machines with auxiliary function approach., and . MLSP, page 1-6. IEEE, (2014)Sparse sound field decomposition with multichannel extension of complex NMF., , , , and . ICASSP, page 345-349. IEEE, (2016)Music signal separation using supervised NMF with all-pole-model-based discriminative basis deformation., , , , , , , and . EUSIPCO, page 1143-1147. IEEE, (2016)Phase Reconstruction from Amplitude Spectrograms Based on Von-Mises-Distribution Deep Neural Network., , , , and . IWAENC, page 286-290. IEEE, (2018)Sparse Representation Using Multidimensional Mixed-Norm Penalty With Application to Sound Field Decomposition., , , and . IEEE Trans. Signal Process., 66 (12): 3327-3338 (2018)Independent Deeply Learned Matrix Analysis for Determined Audio Source Separation., , , , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 27 (10): 1601-1615 (2019)Independent Low-Rank Matrix Analysis Based on Time-Variant Sub-Gaussian Source Model., , , , , , , and . APSIPA, page 1684-1691. IEEE, (2018)Audio signal separation using supervised NMF with time-variant all-pole-model-based basis deformation., , , , , , and . APSIPA, page 1-7. IEEE, (2016)