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Picture for Daichi Kitamura

Speech Enhancement by Noise Self-Supervised Rank-Constrained Spatial Covariance Matrix Estimation via Independent Deeply Learned Matrix Analysis


Sep 10, 2021
Sota Misawa, Norihiro Takamune, Tomohiko Nakamura, Daichi Kitamura, Hiroshi Saruwatari, Masakazu Une, Shoji Makino

* accepted for APSIPA2021 

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Multichannel Audio Source Separation with Independent Deeply Learned Matrix Analysis Using Product of Source Models


Sep 02, 2021
Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo

* 8 pages, 5 figures, accepted for Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2021 (APSIPA ASC 2021) 

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Prior Distribution Design for Music Bleeding-Sound Reduction Based on Nonnegative Matrix Factorization


Sep 01, 2021
Yusaku Mizobuchi, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo

* Accepted and will be presented at APSIPA2021 

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Independent Deeply Learned Tensor Analysis for Determined Audio Source Separation


Jun 10, 2021
Naoki Narisawa, Rintaro Ikeshita, Norihiro Takamune, Daichi Kitamura, Tomohiko Nakamura, Hiroshi Saruwatari, Tomohiro Nakatani

* 5 pages, 2 figures, accepted for European Signal Processing Conference 2021 (EUSIPCO 2021) 

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Empirical Bayesian Independent Deeply Learned Matrix Analysis For Multichannel Audio Source Separation


Jun 07, 2021
Takuya Hasumi, Tomohiko Nakamura, Norihiro Takamune, Hiroshi Saruwatari, Daichi Kitamura, Yu Takahashi, Kazunobu Kondo

* 5 pages, 4 figures, accepted for European Signal Processing Conference 2021 (EUSIPCO 2021) 

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Deficient Basis Estimation of Noise Spatial Covariance Matrix for Rank-Constrained Spatial Covariance Matrix Estimation Method in Blind Speech Extraction


May 06, 2021
Yuto Kondo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari

* 5 pages, 3 figures, ICASSP2021 

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