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Volumn 61, Issue 1, 2013, Pages 44-56

Online non-negative convolutive pattern learning for speech signals

Author keywords

convolutive NMF; Non negative matrix factorization; online pattern learning; sparse coding; speech processing; speech recognition

Indexed keywords

BATCH LEARNING; COMPUTING POWER; COMPUTING RESOURCE; CONVOLUTIVE NMF; INPUT DATAS; LEARNED PATTERNS; LOCAL MINIMUMS; NON-NEGATIVE SPARSE CODING; NONNEGATIVE MATRIX FACTORIZATION; ONLINE IMPLEMENTATION; ONLINE LEARNING; ONLINE LEARNING ALGORITHMS; PATTERN LEARNING; SPARSE CODING; SPEECH SIGNALS; TRAINING DATA;

EID: 84870974763     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2012.2222381     Document Type: Article
Times cited : (23)

References (53)
  • 1
    • 0028561099 scopus 로고
    • Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values
    • P. Paatero and U. Tapper, "Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values, " Environmetr., vol. 5, no. 12, pp. 111-126, 1994.
    • (1994) Environmetr. , vol.5 , Issue.12 , pp. 111-126
    • Paatero, P.1    Tapper, U.2
  • 2
    • 0030954231 scopus 로고    scopus 로고
    • Least squares formulation of robust non-negative factor analysis
    • DOI 10.1016/S0169-7439(96)00044-5, PII S0169743996000445
    • P. Paatero, "Least squares formulation of robust non-negative factor analysis, " Chemometr. Intell. Lab. Syst., vol. 37, pp. 23-35, 1997. (Pubitemid 27242783)
    • (1997) Chemometrics and Intelligent Laboratory Systems , vol.37 , Issue.1 , pp. 23-35
    • Paatero, P.1
  • 3
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • oct
    • D. D. Lee and H. Seung, "Learning the parts of objects by non-negative matrix factorization, " Nature, vol. 401, no. 6755, pp. 788-791, Oct. 1999.
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.D.1    Seung, H.2
  • 4
    • 0001093042 scopus 로고    scopus 로고
    • Algorithms for non-negative matrix factorization
    • D. D. Lee and H. Seung, "Algorithms for non-negative matrix factorization, " in Proc. NIPS, 2000, pp. 556-562.
    • (2000) Proc. NIPS , pp. 556-562
    • Lee, D.D.1    Seung, H.2
  • 5
    • 23744456750 scopus 로고    scopus 로고
    • When does non-negative matrix factorization give a correct decomposition into parts?
    • D. L. Donoho and V. Stodden, "When does non-negative matrix factorization give a correct decomposition into parts?, " in Proc. NIPS 2003, 2003.
    • (2003) Proc. NIPS , vol.2003
    • Donoho, D.L.1    Stodden, V.2
  • 6
    • 36348966695 scopus 로고    scopus 로고
    • On the convergence of multiplicative update algorithms for nonnegative matrix factorization
    • DOI 10.1109/TNN.2007.895831
    • C. Lin, "On the convergence of multiplicative update algorithms for nonnegative matrix factorization, " IEEE Trans. Neural Netw., vol. 18, no. 6, pp. 1589-1596, Nov. 2007. (Pubitemid 350148414)
    • (2007) IEEE Transactions on Neural Networks , vol.18 , Issue.6 , pp. 1589-1596
    • Lin, C.-J.1
  • 7
    • 31844432834 scopus 로고    scopus 로고
    • Non-negative tensor factorization with applications to statistics and computer vision
    • A. Shashua and T. Hazan, "Non-negative tensor factorization with applications to statistics and computer vision, " in Proc. Int. Conf. Mach. Learn. (ICML), 2005, pp. 792-799.
    • (2005) Proc. Int. Conf. Mach. Learn. (ICML) , pp. 792-799
    • Shashua, A.1    Hazan, T.2
  • 9
    • 0041339710 scopus 로고    scopus 로고
    • Introducing a weighted non-negative matrix factorization for image classification
    • DOI 10.1016/S0167-8655(03)00089-8
    • D. Guillamet, J. Vitrià, and B. Schiele, "Introducing a weighted non-negative matrix factorization for image classification, " Pattern Recogn. Lett., vol. 24, no. 14, pp. 2447-2454, 2003. (Pubitemid 36911088)
    • (2003) Pattern Recognition Letters , vol.24 , Issue.14 , pp. 2447-2454
    • Guillamet, D.1    Vitria, J.2    Schiele, B.3
  • 11
    • 1542347778 scopus 로고    scopus 로고
    • Document clustering based on nonnegative matrix factorization
    • W. Xu, X. Liu, and Y. Gong, "Document clustering based on nonnegative matrix factorization, " in Proc. SIGIR, 2003, pp. 267-273.
    • (2003) Proc. SIGIR , pp. 267-273
    • Xu, W.1    Liu, X.2    Gong, Y.3
  • 12
    • 0034861343 scopus 로고    scopus 로고
    • Positive tensor factorization
    • DOI 10.1016/S0167-8655(01)00070-8, PII S0167865501000708, Selected Papers from The 11th Portuguese Conference on Pattern Recognitition - RECPAD2000
    • M. Welling and M. Weber, "Positive tensor factorization, " Pattern Recogn. Lett., vol. 22, no. 12, pp. 1255-1261, 2001. (Pubitemid 32784358)
    • (2001) Pattern Recognition Letters , vol.22 , Issue.12 , pp. 1255-1261
    • Welling, M.1    Weber, M.2
  • 13
    • 84864031935 scopus 로고    scopus 로고
    • Generalized non-negative matrix approximations with Bregman divergences
    • I. S. Dhillon and S. Sra, "Generalized non-negative matrix approximations with Bregman divergences, " in Proc. Neural Inf. Proc. Syst., 2005, pp. 283-290.
    • (2005) Proc. Neural Inf. Proc. Syst. , pp. 283-290
    • Dhillon, I.S.1    Sra, S.2
  • 16
    • 35548969471 scopus 로고    scopus 로고
    • Projected gradient methods for non-negative matrix factorization
    • C. Lin, "Projected gradient methods for non-negative matrix factorization, " Neural Computat., vol. 19, no. 10, pp. 2756-2779, 2004.
    • (2004) Neural Computat. , vol.19 , Issue.10 , pp. 2756-2779
    • Lin, C.1
  • 17
    • 34247173538 scopus 로고    scopus 로고
    • Nonnegative matrix factorization with constrained second-order optimization
    • DOI 10.1016/j.sigpro.2007.01.024, PII S0165168407000527
    • R. Zdunek and A. Cichocki, "Nonnegative matrix factorization with constrained second-order optimization, " Signal Process., vol. 87, no. 8, pp. 1904-1916, 2007. (Pubitemid 46590394)
    • (2007) Signal Processing , vol.87 , Issue.8 , pp. 1904-1916
    • Zdunek, R.1    Cichocki, A.2
  • 18
    • 63249085556 scopus 로고    scopus 로고
    • Nonnegative matrix factorization with the Itakura-Saito divergence: With application to music analysis
    • C. FéVotte, N. Bertin, and J.-L. Durrieu, "Nonnegative matrix factorization with the Itakura-Saito divergence: With application to music analysis, " Neural Computat., pp. 793-830, 2009.
    • (2009) Neural Computat. , pp. 793-830
    • Févotte, C.1    Bertin, N.2    Durrieu, J.-L.3
  • 19
    • 33847655586 scopus 로고    scopus 로고
    • A generalized divergence measure for non-negative matrix factorization
    • R. Kompass, "A generalized divergence measure for non-negative matrix factorization, " Neural Computat., vol. 19, no. 3, pp. 780-791, 2007.
    • (2007) Neural Computat. , vol.19 , Issue.3 , pp. 780-791
    • Kompass, R.1
  • 20
    • 67349093319 scopus 로고    scopus 로고
    • Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method
    • July
    • H. Kim and H. Park, "Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method, " SIAM J. Matrix Anal. Appl., vol. 30, pp. 713-730, July 2008.
    • (2008) SIAM J. Matrix Anal. Appl. , vol.30 , pp. 713-730
    • Kim, H.1    Park, H.2
  • 21
    • 67650927380 scopus 로고    scopus 로고
    • Bayesian inference for non-negative matrix factorisation models
    • 17, Jan
    • A. T. Cemgil, "Bayesian inference for non-negative matrix factorisation models, " Intell. Neurosci., vol. 2009, pp. 4:1-4:17, Jan. 2009.
    • (2009) Intell. Neurosci. , vol.2009 , Issue.1-4 , pp. 4
    • Cemgil, A.T.1
  • 22
    • 67149090611 scopus 로고    scopus 로고
    • Bayesian non-negative matrix factorization
    • ser. Lecture Notes in Computer Science (LNCS), Springer
    • M. N. Schmidt, O. Winther, and L. K. Hansen, "Bayesian non-negative matrix factorization, " in Proc. Int. Conf. Independ. Compon. Anal. Signal Separat., 2009, vol. 5441, pp. 540-547, ser. Lecture Notes in Computer Science (LNCS), Springer.
    • (2009) Proc. Int. Conf. Independ. Compon. Anal. Signal Separat. , vol.5441 , pp. 540-547
    • Schmidt, M.N.1    Winther, O.2    Hansen, L.K.3
  • 23
    • 77951938107 scopus 로고    scopus 로고
    • Linear and non-linear projective non-negative matrix factorization
    • Z. Yang and E. Oja, "Linear and non-linear projective non-negative matrix factorization, " IEEE Trans. Neural Netw., vol. 21, no. 5, pp. 734-749, 2010.
    • (2010) IEEE Trans. Neural Netw. , vol.21 , Issue.5 , pp. 734-749
    • Yang, Z.1    Oja, E.2
  • 24
    • 38049021850 scopus 로고    scopus 로고
    • Convolutive speech bases and their application to supervised speech separation
    • Jan
    • P. Smaragdis, "Convolutive speech bases and their application to supervised speech separation, " IEEE Trans. Audio, Speech, Lang. Process., vol. 15, no. 1, pp. 1-12, Jan. 2007.
    • (2007) IEEE Trans. Audio, Speech, Lang. Process. , vol.15 , Issue.1 , pp. 1-12
    • Smaragdis, P.1
  • 26
    • 84900510076 scopus 로고    scopus 로고
    • Non-negative matrix factorization with sparseness constraints
    • P. Hoyer, "Non-negative matrix factorization with sparseness constraints, " J. Mach. Learn. Res., vol. 5, pp. 1457-1469, 2004.
    • (2004) J. Mach. Learn. Res. , vol.5 , pp. 1457-1469
    • Hoyer, P.1
  • 27
    • 33745765253 scopus 로고    scopus 로고
    • Learning sparse representations by non-negative matrix factorization and sequential cone programming
    • M. Heiler and C. Schnorr, "Learning sparse representations by non-negative matrix factorization and sequential cone programming, " J. Mach. Learn. Res., vol. 7, pp. 1385-1407, 2006. (Pubitemid 44024595)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1385-1407
    • Heiler, M.1    Schnorr, C.2
  • 28
    • 34547844077 scopus 로고    scopus 로고
    • Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis
    • DOI 10.1093/bioinformatics/btm134
    • H. Kim and H. Park, "Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis, " Bioinformatics, vol. 23, no. 12, pp. 1495-1502, 2007. (Pubitemid 47244474)
    • (2007) Bioinformatics , vol.23 , Issue.12 , pp. 1495-1502
    • Kim, H.1    Park, H.2
  • 29
    • 38949106515 scopus 로고    scopus 로고
    • Convolutive non-negative matrix factorisation with a sparseness constraint
    • (MLSP 2006), Maynooth, Ireland, Sep.
    • P. D. O'Grady and B. A. Pearlmutter, "Convolutive non-negative matrix factorisation with a sparseness constraint, " in Proc. IEEE Int. Workshop on Mach. Learn. Signal Process. (MLSP 2006), Maynooth, Ireland, Sep. 2006, pp. 427-432.
    • (2006) Proc. IEEE Int. Workshop on Mach. Learn. Signal Process , pp. 427-432
    • O'Grady, P.D.1    Pearlmutter, B.A.2
  • 30
    • 50249152311 scopus 로고    scopus 로고
    • Monaural sound source separation by nonnegative matrix factorization with temporal continuity and sparseness criteria
    • T. Virtanen, "Monaural sound source separation by nonnegative matrix factorization with temporal continuity and sparseness criteria, " IEEE Trans. Audio, Speech, Lang. Process., vol. 15, no. 3, pp. 1066-1074, 2007.
    • (2007) IEEE Trans. Audio, Speech, Lang. Process. , vol.15 , Issue.3 , pp. 1066-1074
    • Virtanen, T.1
  • 31
    • 56349157535 scopus 로고    scopus 로고
    • Convolutive non-negative sparse coding
    • W. Wang, "Convolutive non-negative sparse coding, " in Proc. IJCNN'08, 2008, pp. 3681-3684.
    • (2008) Proc. IJCNN'08 , pp. 3681-3684
    • Wang, W.1
  • 32
    • 67650142420 scopus 로고    scopus 로고
    • A multiplicative algorithm for convolutive non-negative matrix factorization based on squared Euclidean distance
    • W. Wang, A. Cichocki, and J. A. Chamber, "A multiplicative algorithm for convolutive non-negative matrix factorization based on squared Euclidean distance, " IEEE Trans. Signal Process., vol. 57, no. 5, pp. 2858-2864, 2009.
    • (2009) IEEE Trans. Signal Process. , vol.57 , Issue.5 , pp. 2858-2864
    • Wang, W.1    Cichocki, A.2    Chamber, J.A.3
  • 33
    • 78049414643 scopus 로고    scopus 로고
    • Speech enhancement with sparse coding in learned dictionaries
    • C. D. Sigg, T. Dikk, and J. M. Buhmann, "Speech enhancement with sparse coding in learned dictionaries, " in Proc. ICASSP'10, 2010.
    • (2010) Proc. ICASSP'10
    • Sigg, C.D.1    Dikk, T.2    Buhmann, J.M.3
  • 34
    • 84882496252 scopus 로고    scopus 로고
    • Separation of sound sources by convolutive sparse coding
    • T. Virtanen, "Separation of sound sources by convolutive sparse coding, " in Proc. SAPA'2004, 2004.
    • (2004) Proc. SAPA'2004
    • Virtanen, T.1
  • 35
    • 53849091668 scopus 로고    scopus 로고
    • Continuous speech recognition with sparse coding
    • W. Smit and E. Barnard, "Continuous speech recognition with sparse coding, " Comput. Speech Lang., vol. 23, no. 2, 2009.
    • (2009) Comput. Speech Lang. , vol.23 , Issue.2
    • Smit, W.1    Barnard, E.2
  • 38
    • 0000016172 scopus 로고
    • A stochastic approximation method
    • H. Robbins and S. Monro, "A stochastic approximation method, " Ann. Math. Statist., vol. 22, pp. 400-407, 1951.
    • (1951) Ann. Math. Statist. , vol.22 , pp. 400-407
    • Robbins, H.1    Monro, S.2
  • 39
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multi-variate observations
    • J. Macqueen, "Some methods for classification and analysis of multi-variate observations, " in Proc. 5th Berkeley Symp. Math. Statist. Prob-abil., 1967, vol. 1, pp. 281-297.
    • (1967) Proc. 5th Berkeley Symp. Math. Statist. Prob-abil. , vol.1 , pp. 281-297
    • MacQueen, J.1
  • 40
    • 76749107542 scopus 로고    scopus 로고
    • Online learning for matrix factorization and sparse coding
    • Jan
    • J. Mairal, F. Bach, J. Ponce, and G. Sapiro, "Online learning for matrix factorization and sparse coding, " J. Mach. Learn. Res., vol. 2010, no. 11, pp. 19-60, Jan. 2010.
    • (2010) J. Mach. Learn. Res. , vol.2010 , Issue.11 , pp. 19-60
    • Mairal, J.1    Bach, F.2    Ponce, J.3    Sapiro, G.4
  • 41
    • 58249090788 scopus 로고    scopus 로고
    • Incremental subspace learning via non-negative matrix factorization
    • S. S. Bucak and B. Gunsel, "Incremental subspace learning via non-negative matrix factorization, " Pattern Recogn., vol. 42, no. 5, pp. 788-797, 2009.
    • (2009) Pattern Recogn. , vol.42 , Issue.5 , pp. 788-797
    • Bucak, S.S.1    Gunsel, B.2
  • 44
    • 79959845286 scopus 로고    scopus 로고
    • The CHiME corpus: A resource and a challenge for computational hearing in multisource environments
    • H. Christensen, J. Barker, N. Ma, and P. Green, "The CHiME corpus: A resource and a challenge for computational hearing in multisource environments, " in Proc. Interspeech, 2010.
    • Proc. Interspeech , vol.2010
    • Christensen, H.1    Barker, J.2    Ma, N.3    Green, P.4
  • 47
    • 2942640138 scopus 로고    scopus 로고
    • On sparse representations in arbitrary redundant bases
    • J. Jacques Fuchs, "On sparse representations in arbitrary redundant bases, " IEEE Trans. Inf. Theory, vol. 50, no. 6, pp. 134-1344, 2004.
    • (2004) IEEE Trans. Inf. Theory , vol.50 , Issue.6 , pp. 134-1344
    • Jacques Fuchs, J.1
  • 48
    • 84871014797 scopus 로고    scopus 로고
    • Online non-negative convolutive pattern learning for speech signals
    • Tech. Rep. RR-11-261
    • D. Wang, R. Vipperla, N. Evans, and T. F. Zheng, "Online non-negative convolutive pattern learning for speech signals, " EURECOM, Tech. Rep. RR-11-261, 2011.
    • (2011) EURECOM
    • Wang, D.1    Vipperla, R.2    Evans, N.3    Zheng, T.F.4
  • 49
    • 84968481734 scopus 로고
    • Quasi-martingales
    • D. Fisk, "Quasi-martingales, " Trans. Amer. Math. Soc., vol. 120, no. 3, pp. 359-388, 1965.
    • (1965) Trans. Amer. Math. Soc. , vol.120 , Issue.3 , pp. 359-388
    • Fisk, D.1
  • 51
    • 0013309537 scopus 로고    scopus 로고
    • Online algorithms and stochastic approximations
    • D. Saad, Ed. Cambridge, U.K.: Cambridge Univ. Press
    • L. Bottou, "Online algorithms and stochastic approximations, " in Online Learning in Neural Networks, D. Saad, Ed. Cambridge, U.K.: Cambridge Univ. Press, 1998.
    • (1998) Online Learning in Neural Networks
    • Bottou, L.1


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