NMF-based environmental sound source separation using time-variant gain features

Satoshi Innami, Hiroyuki Kasai*

*この研究の対応する著者

研究成果: Article査読

26 被引用数 (Scopus)

抄録

Various environmental sounds exist around us in our daily life. Recently, environmental sound recognition has drawn great attention for understanding our environment. However, because environmental sounds derive from multiple sound sources, it is difficult to recognize them accurately. If we were able to separate sound sources before sound recognition as a pre-process, then recognition would be easier and more accurate. We assume that monaural microphones are widely installed in mobile devices used as recording devices. This paper therefore presents a proposal for monaural sound source separation of environmental sounds. Two-phase clustering using non-negative matrix factorization (NMF) is proposed to separate monaural sound sources. In this proposal, the time-variant gain feature is used as an attribute of an environmental sound for more efficient sound separation.

本文言語English
ページ(範囲)1333-1342
ページ数10
ジャーナルComputers and Mathematics with Applications
64
5
DOI
出版ステータスPublished - 2012 9
外部発表はい

ASJC Scopus subject areas

  • モデリングとシミュレーション
  • 計算理論と計算数学
  • 計算数学

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