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Volumn , Issue , 2009, Pages 3137-3140

Multichannel nonnegative matrix factorization in convolutive mixtures. With application to blind audio source separation

Author keywords

Multichannel audio; Nonnegative matrix factorization; Nonnegative tensor factorization; Underdetermined convolutive blind source separation

Indexed keywords

AUDIO SOURCE SEPARATION; CONVOLUTIVE MIXTURE; DATA-DRIVEN; DECOMPOSITION ALGORITHM; EXPECTATION-MAXIMIZATION ALGORITHMS; GAUSSIAN COMPONENTS; MULTI-CHANNEL; MULTICHANNEL AUDIO; MULTICHANNEL DATA; MULTIPLICATIVE UPDATES; NONNEGATIVE MATRIX FACTORIZATION; NONNEGATIVE TENSOR FACTORIZATION; OBJECT-BASED MODELS; SOURCE PARAMETERS; SOURCE SIGNALS; STATISTICAL MODELS; STEREO MUSIC; UNDER-DETERMINED; UNDERDETERMINED CONVOLUTIVE BLIND SOURCE SEPARATION;

EID: 70349216423     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960289     Document Type: Conference Paper
Times cited : (25)

References (10)
  • 2
    • 63249085556 scopus 로고    scopus 로고
    • C. Févotte, N. Bertin, and J.-L. Durrieu, Nonnegative matrix factorization with the Itakura-Saito divergence. With application to music analysis, Neural Computation, 21, no. 3, Mar. 2009, Preprint at http://www.tsi.enst.fr/~fevotte/TechRep/techrep08-is-nmf.pdf.
    • C. Févotte, N. Bertin, and J.-L. Durrieu, "Nonnegative matrix factorization with the Itakura-Saito divergence. With application to music analysis," Neural Computation, vol. 21, no. 3, Mar. 2009, Preprint at http://www.tsi.enst.fr/~fevotte/TechRep/techrep08-is-nmf.pdf.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.