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Volumn , Issue , 2011, Pages 5-8

Adaptation of source-specific dictionaries in non-negative matrix factorization for source separation

Author keywords

adaptation; audio source separation; dictionary; nonnegative matrix factorization

Indexed keywords

ADAPTATION; AUDIO SOURCE SEPARATION; AUDIO SOURCES; DICTIONARY; FILTER ADAPTATION; FREQUENCY DOMAINS; NONNEGATIVE MATRIX FACTORIZATION; SOURCE SEPARATION;

EID: 80051603240     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5946314     Document Type: Conference Paper
Times cited : (13)

References (12)
  • 1
    • 63249085556 scopus 로고    scopus 로고
    • Nonnegative matrix factorization with the itakura-saito divergence. with application to music analysis
    • Mar.
    • 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, pp. 793-830, Mar. 2009.
    • (2009) Neural Computation , vol.21 , Issue.3 , pp. 793-830
    • Févotte, C.1    Bertin, N.2    Durrieu, J.-L.3
  • 8
    • 76949094445 scopus 로고    scopus 로고
    • Multichannel nonnegative matrix factorization in convolutive mixtures for audio source separation
    • A. Ozerov and C. Févotte, "Multichannel nonnegative matrix factorization in convolutive mixtures for audio source separation," IEEE Trans. on Audio, Speech, and Language Processing, vol. 18, no. 3, pp. 550-563, 2010.
    • (2010) IEEE Trans. on Audio, Speech, and Language Processing , vol.18 , Issue.3 , pp. 550-563
    • Ozerov, A.1    Févotte, C.2
  • 9
    • 84864031935 scopus 로고    scopus 로고
    • Generalized nonnegative matrix approximations with Bregman divergences
    • I. Dhillon and S. Sra, "Generalized nonnegative matrix approximations with Bregman divergences," Advances in neural information processing systems, vol. 18, pp. 283, 2006.
    • (2006) Advances in Neural Information Processing Systems , vol.18 , pp. 283
    • Dhillon, I.1    Sra, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.