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• W2912690093 abstract "This paper presents various source separation methods that utilize multiple microphones. We classify theminto two classes. Methods that fall into the first class apply independent component analysis (ICA) or Gaussianmixture model (GMM) to frequency bin-wise observations, and then solve the permutation problem to reconstructseparated signals. The second type of method extends non-negative matrix factorization (NMF) to a multimicrophonesituation, in which NMF bases are clustered according to their spatial properties. We have a unifiedunderstanding that all methods analyze a time-frequency representation with an additional microphone axis." @default.
• W2912690093 created "2019-02-21" @default.
• W2912690093 creator A5007032557 @default.
• W2912690093 date "2012-12-06" @default.
• W2912690093 modified "2023-09-23" @default.
• W2912690093 title "Audio source separation with multiple microphones on time-frequency representations" @default.
• W2912690093 hasPublicationYear "2012" @default.
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