Diffuse noise suppression with asynchronous microphone array based on amplitude additivity model

Yoshikazu Murase, Hironobu Chiba, Nobutaka Ono, Shigeki Miyabe, Takeshi Yamada, Shoji Makino

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, we propose a method for suppressing a large number of interferences by using multichannel amplitude analysis based on nonnegative matrix factorization (NMF) and its effective semi-supervised training. For the point-source interference reduction of an asynchronous microphone array, we propose amplitude-based speech enhancement in the time-channel domain, which we call transfer-function-gain NMF. Transfer-function-gain NMF is a robust method against drift, which disrupts an inter-channel phase analysis. We use this method to suppress a large number of sources. We show that a mass of interferences can be modeled by a single basis assuming that the noise sources are sufficiently far from the microphones and the spatial characteristics become similar to each other. Since the blind optimization of the NMF parameters does not work well with merely sparse observation contaminated by the constant heavy noise, we train the diffuse noise basis in advance of the noise suppression using a speech absent observation, which can be obtained easily using a simple voice activity detection technique. We confirmed the effectiveness of our proposed model and semi-supervised transfer-function-gain NMF in an experiment simulating a target source that was surrounded by a diffuse noise.

本文言語English
ホスト出版物のタイトル2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
出版社Institute of Electrical and Electronics Engineers Inc.
ページ599-603
ページ数5
ISBN(電子版)9789881476807
DOI
出版ステータスPublished - 2016 2 19
外部発表はい
イベント2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 - Hong Kong, Hong Kong
継続期間: 2015 12 162015 12 19

出版物シリーズ

名前2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015

Other

Other2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
国/地域Hong Kong
CityHong Kong
Period15/12/1615/12/19

ASJC Scopus subject areas

  • 人工知能
  • モデリングとシミュレーション
  • 信号処理

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