메뉴 건너뛰기




Volumn 21, Issue 3, 2009, Pages 793-830

Nonnegative matrix factorization with the Itakura-Saito divergence: With application to music analysis

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; AUDITORY STIMULATION; AUTOMATED PATTERN RECOGNITION; HEARING; HUMAN; INFORMATION RETRIEVAL; METHODOLOGY; MUSIC; PHYSIOLOGY; PROBABILITY; SOUND DETECTION; STATISTICAL MODEL; TIME;

EID: 63249085556     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2008.04-08-771     Document Type: Letter
Times cited : (1053)

References (35)
  • 8
    • 33746905129 scopus 로고    scopus 로고
    • Multilayer nonnegative matrix factorization
    • Cichocki, A., & Zdunek, R. (2006). Multilayer nonnegative matrix factorization. Electronics Letters, 42(16), 947-948.
    • (2006) Electronics Letters , vol.42 , Issue.16 , pp. 947-948
    • Cichocki, A.1    Zdunek, R.2
  • 10
    • 78649250515 scopus 로고    scopus 로고
    • In M. M. Sondhi, J. Benesty, & Y. Huang (Eds.), Springer handbook of speech processing. New York: Springer
    • Cohen, I., & Gannot, S. (2007). Spectral enhancement methods. In M. M. Sondhi, J. Benesty, & Y. Huang (Eds.), Springer handbook of speech processing. New York: Springer.
    • (2007) Spectral enhancement methods
    • Cohen, I.1    Gannot, S.2
  • 11
    • 84864031935 scopus 로고    scopus 로고
    • In M. I. Jordan, Y. Le Cun, & S. A. Solla (Eds.), Advances in neural information processing systems. Cambridge, MA: MIT Press
    • Dhillon, I. S., & Sra, S. (2005). Generalized nonnegative matrix approximations with Bregman divergences. In M. I. Jordan, Y. Le Cun, & S. A. Solla (Eds.), Advances in neural information processing systems, 19. Cambridge, MA: MIT Press.
    • (2005) Generalized nonnegative matrix approximations with Bregman divergences , vol.19
    • Dhillon, I.S.1    Sra, S.2
  • 13
    • 33645702834 scopus 로고    scopus 로고
    • (Research Memo 802). Tokyo: Institute of Statistical Mathematics. Available online at
    • Eguchi, S., & Kano, Y. (2001). Robustifying maximum likelihood estimation. (Research Memo 802). Tokyo: Institute of Statistical Mathematics. Available online at http://www.ism.ac.jp/~eguchi/pdf/Robustify MLE.pdf.
    • (2001) Robustifying maximum likelihood estimation
    • Eguchi, S.1    Kano, Y.2
  • 15
    • 0028517016 scopus 로고
    • Space-alternating generalized expectation maximization algorithm
    • Fessler, J. A., & Hero, A. O. (1994). Space-alternating generalized expectation maximization algorithm. IEEE Transactions on Signal Processing, 42, 2664-2677.
    • (1994) IEEE Transactions on Signal Processing , vol.42 , pp. 2664-2677
    • Fessler, J.A.1    Hero, A.O.2
  • 17
    • 0014698310 scopus 로고
    • Analysis synthesis telephony based on the maximum likelihood method
    • In Los Alamitos, CA: IEEE
    • Itakura, F., & Saito, S. (1968). Analysis synthesis telephony based on the maximum likelihood method. In Proc. 6th of the International Congress on Acoustics (pp. C- 17-C-20). Los Alamitos, CA: IEEE.
    • (1968) Proc. 6th of the International Congress on Acoustics
    • Itakura, F.1    Saito, S.2
  • 18
    • 33847655586 scopus 로고    scopus 로고
    • A generalized divergence measure fon nonnegative matrix factorization
    • Kompass, R. (2007). A generalized divergence measure fon nonnegative matrix factorization. Neural Computation, 19, 780-791.
    • (2007) Neural Computation , vol.19 , pp. 780-791
    • Kompass, R.1
  • 19
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects with nonnegative matrix factorization
    • Lee, D. D., & Seung, H. S. (1999). Learning the parts of objects with nonnegative matrix factorization. Nature, 401, 788-791.
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 20
    • 84898964201 scopus 로고    scopus 로고
    • Algorithms for non-negative matrix factorization
    • In T. K. Leen, T. G. Dietterich, & V. Tresp (Eds.), Cambridge, MA: MIT Press
    • Lee, D. D., & Seung, H. S. (2001). Algorithms for non-negative matrix factorization. In T. K. Leen, T. G. Dietterich, & V. Tresp (Eds.), Advances in neural and information processing systems, 13 (pp. 556-562). Cambridge, MA: MIT Press.
    • (2001) Advances in neural and information processing systems , vol.13 , pp. 556-562
    • Lee, D.D.1    Seung, H.S.2
  • 21
    • 0034133184 scopus 로고    scopus 로고
    • Learning overcomplete representations
    • Lewicki, M. S., & Sejnowski, T. J. (2000). Learning overcomplete representations. Neural Computation, 12, 337-365.
    • (2000) Neural Computation , vol.12 , pp. 337-365
    • Lewicki, M.S.1    Sejnowski, T.J.2
  • 22
    • 35548969471 scopus 로고    scopus 로고
    • Projected gradient methods for nonnegative matrix factorization
    • Lin, C.-J. (2007). Projected gradient methods for nonnegative matrix factorization. Neural Computation, 19, 2756-2779.
    • (2007) Neural Computation , vol.19 , pp. 2756-2779
    • Lin, C.-J.1
  • 24
    • 51449094735 scopus 로고    scopus 로고
    • Adaptation of Bayesian models for single-channel source separation and its application to voice/music separation in popular songs
    • Ozerov, A., Philippe, P., Bimbot, F., & Gribonval, R. (2007). Adaptation of Bayesian models for single-channel source separation and its application to voice/music separation in popular songs. IEEE Transactions on Audio, Speech, and Language Processing, 15, 1564-1578.
    • (2007) IEEE Transactions on Audio, Speech, and Language Processing , vol.15 , pp. 1564-1578
    • Ozerov, A.1    Philippe, P.2    Bimbot, F.3    Gribonval, R.4
  • 27
    • 85162005859 scopus 로고    scopus 로고
    • Sparse overcomplete latent variable decomposition of counts data
    • In J. C. Platt, D. Koller, Y. Singer, & S. Roweis (Eds.), Cambridge, MA: MIT Press
    • Shashanka, M., Raj, B., & Smaragdis, P. (2008b). Sparse overcomplete latent variable decomposition of counts data. In J. C. Platt, D. Koller, Y. Singer, & S. Roweis (Eds.), Advances in neural information processing systems, 20 (pp. 1313-1320). Cambridge, MA: MIT Press.
    • (2008) Advances in neural information processing systems , vol.20 , pp. 1313-1320
    • Shashanka, M.1    Raj, B.2    Smaragdis, P.3
  • 30
    • 85032762613 scopus 로고    scopus 로고
    • Model-order selection: A review of information criterion rules
    • Stoica, P., & Selén, Y. (2004). Model-order selection: A review of information criterion rules. IEEE Signal Processing Magazine, 21, 36-47.
    • (2004) IEEE Signal Processing Magazine , vol.21 , pp. 36-47
    • Stoica, P.1    Selén, Y.2
  • 32
    • 50249152311 scopus 로고    scopus 로고
    • Monaural sound source separation by non-negative matrix factorization with temporal continuity and sparseness criteria
    • Virtanen, T. (2007). Monaural sound source separation by non-negative matrix factorization with temporal continuity and sparseness criteria. IEEE Transactions on Audio, Speech and Language Processing, 15, 1066-1074.
    • (2007) IEEE Transactions on Audio, Speech and Language Processing , vol.15 , pp. 1066-1074
    • Virtanen, T.1
  • 35
    • 34247173538 scopus 로고    scopus 로고
    • Nonnegative matrix factorization with constrained second-order optimization
    • Zdunek, R., & Cichocki, A. (2007). Nonnegative matrix factorization with constrained second-order optimization. Signal Processing, 87, 1904-1916.
    • (2007) Signal Processing , vol.87 , pp. 1904-1916
    • Zdunek, R.1    Cichocki, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.