Presentation 2020-03-02
Multichannel NMF with Joint-Diagonalizable Constraint Based on Generalized Gaussian Distribution for Blind Source Separation
Keigo Kamo, Yuki Kubo, Norihiro Takamune, Daichi Kitamura, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Multichannel nonnegative matrix factorization (MNMF) is a blind source separation technique, which employs the full-rank spatial covariance matrices and can simulate the situations where the reverberation is strong and the sources are not point sources. Source signals' spectrograms were assumed to follow a multivariate complex Gaussian distribution in MNMF. In this paper, we propose the model extension of MNMF to a multivariate complex generalized Gaussian distribution and derive a new parameter update rule using the auxiliary-function-based method, especially in the sub-Gaussian model. Since the cost function of MNMF of this multivariate complex generalized Gaussian model is hard to minimize, we additionally introduce the joint-diagonalizable constraint, which is the same one of FastMNMF, to MNMF, and transform the cost function to the form to which we can apply the auxiliary functions, deriving the valid parameter update rules. From blind source separation experiments, we show that the proposed method outperforms the conventional methods in source-separation accuracy.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) blind source separation / spatial covariance model / joint diagonalization / multivariate complex sub-Gaussian distribution
Paper # EA2019-103,SIP2019-105,SP2019-52
Date of Issue 2020-02-24 (EA, SIP, SP)

Conference Information
Committee SP / EA / SIP
Conference Date 2020/3/2(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Okinawa Industry Support Center
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Hisashi Kawai(NICT) / Kenichi Furuya(Oita Univ.) / Naoyuki Aikawa(TUS)
Vice Chair Akinobu Ri(Nagoya Inst. of Tech.) / Suehiro Shimauchi(Kanazawa Inst. of Tech.) / Shigeto Takeoka(Shizuoka Inst. of Science and Tech.) / Kazunori Hayashi(Osaka City Univ) / Yukihiro Bandou(NTT)
Secretary Akinobu Ri(Kyoto Univ.) / Suehiro Shimauchi(Waseda Univ.) / Shigeto Takeoka(NHK) / Kazunori Hayashi(Univ. of Tokyo) / Yukihiro Bandou(Hiroshima Univ.)
Assistant Tomoki Koriyama(Univ. of Tokyo) / Yusuke Ijima(NTT) / Keisuke Imoto(Ritsumeikan Univ.) / Daisuke Morikawa(Toyama Pref Univ.) / Kenjiro Sugimoto(Waseda Univ.)

Paper Information
Registration To Technical Committee on Speech / Technical Committee on Engineering Acoustics / Technical Committee on Signal Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Multichannel NMF with Joint-Diagonalizable Constraint Based on Generalized Gaussian Distribution for Blind Source Separation
Sub Title (in English)
Keyword(1) blind source separation
Keyword(2) spatial covariance model
Keyword(3) joint diagonalization
Keyword(4) multivariate complex sub-Gaussian distribution
1st Author's Name Keigo Kamo
1st Author's Affiliation The University of Tokyo(UTokyo)
2nd Author's Name Yuki Kubo
2nd Author's Affiliation The University of Tokyo(UTokyo)
3rd Author's Name Norihiro Takamune
3rd Author's Affiliation The University of Tokyo(UTokyo)
4th Author's Name Daichi Kitamura
4th Author's Affiliation National Institute of Technology, Kagawa Collage(NIT Kagawa)
5th Author's Name Hiroshi Saruwatari
5th Author's Affiliation The University of Tokyo(UTokyo)
6th Author's Name Yu Takahashi
6th Author's Affiliation Yamaha Corporation(Yamaha)
7th Author's Name Kazunobu Kondo
7th Author's Affiliation Yamaha Corporation(Yamaha)
Date 2020-03-02
Paper # EA2019-103,SIP2019-105,SP2019-52
Volume (vol) vol.119
Number (no) EA-439,SIP-440,SP-441
Page pp.pp.13-19(EA), pp.13-19(SIP), pp.13-19(SP),
#Pages 7
Date of Issue 2020-02-24 (EA, SIP, SP)