Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement

2014 4th Joint Workshop on Hands-Free Speech Communication and Microphone Arrays, HSCMA 2014

Volumn , Issue , 2014, Pages 11-15

  Sprechmann, Pablo ^a   Bronstein, Alex M ^b   Sapiro, Guillermo ^a  

^a DUKE UNIVERSITY   (United States)

^b TEL AVIV UNIVERSITY   (Israel)

Author keywords

bilevel; NMF; speech enhancement; Supervised learning; tast specific learning

Indexed keywords

ALGORITHMS; MICROPHONES; SUPERVISED LEARNING;

BI-LEVEL OPTIMIZATION; BILEVEL; GENERATIVE MODEL; NMF; SINGLE-CHANNEL; SPARSITY PRIORS; STOCHASTIC GRADIENT DESCENT; TAST-SPECIFIC LEARNING;

SPEECH ENHANCEMENT;

EID: 84904466929     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HSCMA.2014.6843241     Document Type: Conference Paper

References (26)

1. P. C. Loizou, Speech Enhancement: Theory and Practice, vol. 30, CRC, 2007.
2. E. Hansler and G. Schmidt, Speech and Audio Processing in Adverse Environments, Springer, 2008.
3. K. W. Wilson, B. Raj, P. Smaragdis, and A. Divakaran, "Speech denoising using nonnegative matrix factorization with priors," in ICASSP, 2008, pp. 4029-4032.
4. C. Joder, F. Weninger, F. Eyben, D. Virette, and B. Schuller, "Real-time speech separation by semisupervised nonnegative matrix factorization," in LVA/ICA, 2012, pp. 322-329.
5. G. J. Mysore and P. Smaragdis, "A non-negative approach to semi-supervised separation of speech from noise with the use of temporal dynamics," in ICASSP, 2011, pp. 17-20.
6. Z. Duan, G. J. Mysore, and P. Smaragdis, "Online plca for real-time semi-supervised source separation," in LVA/ICA, 2012, pp. 34-41.
7. D.D. Lee and H.S. Seung, "Learning parts of objects by non-negative matrix factorization," Nature, vol. 401, no. 6755, pp. 788-791, 1999.
8. P. Smaragdis, B. Raj, and M. Shashanka, "A probabilistic latent variable model for acoustic modeling," Advances in models for acoustic processing, NIPS, vol. 148, 2006.
9. M. N. Schmidt and R. K. Olsson, "Single-channel speech separation using sparse non-negative matrix factorization," in INTERSPEECH, Sep 2006.
10. M. V. S. Shashanka, B. Raj, and P. Smaragdis, "Sparse Overcomplete Decomposition for Single Channel Speaker Separation," in ICASSP, 2007.
11. M. N. Schmidt, J. Larsen, and F.-T. Hsiao, "Wind noise reduction using non-negative sparse coding," in MLSP, Aug 2007, pp. 431-436.
12. J. F. Gemmeke, T. Virtanen, and A. Hurmalainen, "Exemplar-based sparse representations for noise robust automatic speech recognition," IEEE Trans. on Audio, Speech, and Lang. Proc., vol. 19, no. 7, pp. 2067-2080, 2011.
13. F. Weninger, M. Ẅollmer, J. T. Geiger, B. Schuller, J. F. Gemmeke, A. Hurmalainen, T. Virtanen, and G. Rigoll, "Non-negative matrix factorization for highly noiserobust asr: To enhance or to recognize?," in ICASSP, 2012, pp. 4681-4684.
14. P.O. Hoyer, "Non-negative matrix factorization with sparseness constraints," The Journal of Machine Learning Research, vol. 5, pp. 1457-1469, 2004.
15. J. Mairal, F. Bach, and J. Ponce, "Task-driven dictionary learning," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 34, no. 4, pp. 791-804, 2012.
16. T. BenYakar, R. Litman, P. Sprechmann, A. Bronstein, and G. Sapiro, "Bilevel sparse models for polyphonic music transcription," in ISMIR, 2013.
17. C. F́evotte, "Majorization-minimization algorithm for smooth itakura-saito nonnegative matrix factorization," in ICASSP. IEEE, 2011, pp. 1980-1983.
18. J. Han, G. J. Mysore, and B. Pardo, "Audio imputation using the non-negative hidden markov model," in LVA/ICA, 2012, pp. 347-355.
19. C. F́evotte, J. Le Roux, and J. R. Hershey, "Nonnegative dynamical system with application to speech and audio," in ICASSP, 2013.
20. C. F́evotte and J. Idier, "Algorithms for nonnegative matrix factorization with the β-divergence," Neural Computation, vol. 23, no. 9, pp. 2421-2456, 2011.
21. J. Mairal, F. Bach, J. Ponce, and G. Sapiro, "Online dictionary learning for sparse coding," in ICML, 2009, pp. 689-696.
22. B. Colson, P. Marcotte, and G. Savard, "An overview of bilevel optimization," Annals of Operations Research, vol. 153, no. 1, pp. 235-256, 2007.
23. Gopal Vasudevan, Layne Terry Watson, and FH Lutze, "Homotopy approach for solving constrained optimization problems," Automatic Control, IEEE Transactions on, vol. 36, no. 4, pp. 494-498, 1991.
24. M. Cooke, J. Barker, S. Cunningham, and X. Shao, "An audio-visual corpus for speech perception and automatic speech recognition," J. of the Acoustical Society of America, vol. 120, pp. 2421, 2006.
25. D. Pearce and H.-G. Hirsch, "The aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions," in INTERSPEECH, 2000, pp. 29-32.
26. E. Vincent, R. Gribonval, and C. F́evotte, "Performance measurement in blind audio source separation," IEEE Trans. on Audio, Speech, and Lang. Proc., vol. 14, no. 4, pp. 1462-1469, 2006.