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Music signal separation using supervised NMF with all-pole-model-based discriminative basis deformation.

H. Nakajima, D. Kitamura, N. Takamune, S. Koyama, H. Saruwatari, N. Ono, Y. Takahashi, and K. Kondo. EUSIPCO, page 1143-1147. IEEE, (2016)

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Other publications of authors with the same name

Independent Deeply Learned Matrix Analysis for Multichannel Audio Source Separation.S. Mogami, H. Sumino, D. Kitamura, N. Takamune, S. Takamichi, H. Saruwatari, and N. Ono. EUSIPCO, page 1557-1561. IEEE, (2018)Training Restricted Boltzmann Machines with auxiliary function approach.H. Kameoka, and N. Takamune. MLSP, page 1-6. IEEE, (2014)Bilevel Optimization Using Stationary Point of Lower-Level Objective Function for Discriminative Basis Learning in Nonnegative Matrix Factorization.H. Nakajima, D. Kitamura, N. Takamune, H. Saruwatari, and N. Ono. IEEE Signal Process. Lett., 26 (6): 818-822 (2019)Independent Low-Rank Matrix Analysis Based on Parametric Majorization-Equalization Algorithm.Y. Mitsui, D. Kitamura, N. Takamune, H. Saruwatari, Y. Takahashi, and K. Kondo. CoRR, (2017)Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction.Y. Kubo, N. Takamune, D. Kitamura, and H. Saruwatari. CoRR, (2019)Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis.S. Misawa, N. Takamune, T. Nakamura, D. Kitamura, H. Saruwatari, M. Une, and S. Makino. APSIPA ASC, page 578-584. IEEE, (2021)Maximum reconstruction probability training of Restricted Boltzmann machines with auxiliary function approach.N. Takamune, and H. Kameoka. MLSP, page 1-6. IEEE, (2014)Sparse sound field decomposition with multichannel extension of complex NMF.N. Murata, S. Koyama, H. Kameoka, N. Takamune, and H. Saruwatari. ICASSP, page 345-349. IEEE, (2016)Music signal separation using supervised NMF with all-pole-model-based discriminative basis deformation.H. Nakajima, D. Kitamura, N. Takamune, S. Koyama, H. Saruwatari, N. Ono, Y. Takahashi, and K. Kondo. EUSIPCO, page 1143-1147. IEEE, (2016)Phase Reconstruction from Amplitude Spectrograms Based on Von-Mises-Distribution Deep Neural Network.S. Takamichi, Y. Saito, N. Takamune, D. Kitamura, and H. Saruwatari. IWAENC, page 286-290. IEEE, (2018)

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Disambiguation of "Takamune, Norihiro"

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Music signal separation using supervised NMF with all-pole-model-based discriminative basis deformation.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Music signal separation using supervised NMF with all-pole-model-based discriminative basis deformation.

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Music signal separation using supervised NMF with all-pole-model-based discriminative basis deformation.