A generalization of laplace nonnegative matrix factorization and its multichannel extension

研究成果: Conference contribution査読

1 被引用数 (Scopus)

抄録

The aim of this paper is to generalize the statistical models of nonnegative matrix factorization (NMF) and multichannel NMF (MNMF). For the NMF and its multichannel extensions, various statistical models have been proposed to improve the model flexibility in the literature on signal separation. However, few studies have been done on the generalization which includes the model based on the Laplace distribution. Thus, we propose the generalized models of the NMF and the MNMF, which include the models based on the Gaussian distribution and the two types of the Laplace distributions, using the Bessel function distribution. To estimate unknown model parameters, we derive the update rules based on the majorization-minimization algorithm. The performances of the proposed NMF and MNMF are evaluated in fitting synthetic data and music signal separation, respectively.

本文言語English
ホスト出版物のタイトル2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1694-1699
ページ数6
ISBN(電子版)9781728132488
DOI
出版ステータスPublished - 11月 2019
イベント2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2019 - Lanzhou, China
継続期間: 18 11月 201921 11月 2019

出版物シリーズ

名前2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2019

Conference

Conference2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2019
国/地域China
CityLanzhou
Period18/11/1921/11/19

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