Audio applications

Handbook of Blind Source Separation

Volumn , Issue , 2010, Pages 779-819

  Vincent, E ^a   Deville, Y ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84878957107     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-12-374726-6.00024-2     Document Type: Chapter

References (74)

1. Abrard F., Deville Y. A time-frequency blind signal separation method applicable to underdetermined mixtures of dependent sources. Signal Processing 2005, 85:1389-1403.
2. B. Albouy, Y. Deville, Improving noisy speech recognition with blind source separation methods: Validation with artificial mixtures, in: Proceedings of the 5th International Worshop on Electronics, Control, Modelling, Measurement and Signals, ECM2S01, 2001, p. 271.
3. B. Albouy, Y. Deville, Alternative structures and power spectrum criteria for blind segmentation and separation of convolutive speech mixtures, in: Proceedings of the 4th International Symposium on Independent Component Analysis and Blind Signal Separation, ICA'03, 2003, pp. 361-366.
4. Araki S., Makino S., Hinamoto Y., Mukai R., Nishikawa T., Saruwatari H. Equivalence between frequency-domain blind source separation and frequency-domain adaptive beamforming for convolutive mixtures. EURASIP Journal of Applied Signal Processing 2003, 11:1157-1166.
5. S. Araki, S. Makino, H. Sawada, R. Mukai, Reducing musical noise by a fine-shift overlap-add method applied to source separation using a time-frequency mask, in: Proceedings of the 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP'05, 2005, pp. III-81-III-84.
6. S. Arberet, R. Gribonval, F. Bimbot, A robust method to count and locate audio sources in a stereophonic linear instantaneous mixture, in: Proceedings of the 6th International Conference on Independent Component Analysis and Blind Source Separation, ICA'06, 2006, pp. 536-543.
7. C. Avendano, J.-M. Jot, Frequency domain techniques for stereo to multichannel upmix, in: Proceedings of the 22nd AES Conference on Vitual, Synthetic and Entertainment Audio, 2002, pp. 121-130.
8. R.V. Balan, J.P. Rosca, S.T. Rickard, Robustness of parametric source demixing in echoic environments, in: Proceedings of the 3rd International Conference on Independent Component Analysis and Blind Signal Separation, ICA'01, 2001, pp. 144-148.
9. Bartlett B., Bartlett J. Practical Recording Techniques: The Step-by-step Approach to Professional Recording 2005, Focal Press, Boston, MA. 4th ed.
10. P. Bofill, Identifying single source data for mixing matrix estimation in instantaneous blind source separation, in: Proceedings of the 18th International Conference on Artificial Neural Networks, ICANN'08, 2008, pp. 759-767.
11. P. Bofill, E. Monte, Underdetermined convoluted source reconstruction using LP and SOCP, and a neural approximator of the optimizer, in: Proceedings of the 6th International Conference on Independent Component Analysis and Blind Source Separation, ICA'06, 2006, pp. 569-576.
12. Microphone Arrays: Signal Processing Techniques and Applications 2001, Springer, New York, NY. M.S. Brandstein, D.B. Ward (Eds.).
13. N. Charkani, Séparation auto-adaptative de sources pour les mélanges convolutifs. Application à la téléphonie mains-libres dans les voitures, PhD thesis, INP Grenoble, France, 1996.
14. Charkani N., Deville Y. Self-adaptive separation of convolutively mixed signals with a recursive structure. Part II: Theoretical extensions and application to synthetic and real signals. Signal Processing 1999, 75:117-140.
15. S. Choi, A. Cichocki, Adaptive blind separation of speech signals: Cocktail party problem, in: Proceedings of the International Conference on Speech Processing, ICSP'97, 1997, pp. 617-622.
16. Deville Y., Puigt M. Temporal and time-frequency correlation-based blind source separation methods. Part I: Determined and Underdetermined Linear Instantaneous Mixtures. Signal Processing 2007, 87:374-407.
17. Y. Deville, M. Puigt, B. Albouy, Time-frequency blind signal separation: Extended methods, performance evaluation for speech sources, in: Proceedings of the International Joint Conference on Neural Networks, IJCNN'04, 2004, pp. 255-260.
18. Douglas S.C., Sawada H., Makino S. Natural gradient multichannel blind deconvolution and speech separation using causal FIR filters. IEEE Transactions on Speech and Audio Processing 2005, 13:92-104.
19. Ehlers F., Schuster H.G. Blind separation of convolutive mixtures and an application in automatic speech recognition in a noisy environment. IEEE Transactions on Signal Processing 1997, 45:2608-2612.
20. Ellis D.P.W. Evaluating speech separation systems. Speech Separation by Humans and Machines 2004, 295-304. Kluwer Academic Publishers, New York, NY. P. Divenyi (Ed.).
21. M. Fallon, S.J. Godsill, A. Blake, Joint acoustic source location and orientation estimation using sequential Monte Carlo, in: Proceedings of the 9th International Conference on Digital Audio Effects, DAFx'06, 2006, pp. 203-208.
22. B. Fox, A. Sabin, B. Pardo, A. Zopf, Modeling perceptual similarity of audio signals for blind source separation evaluation, in: Proceedings of the 7th International Conference on Independent Component Analysis and Signal Separation, ICA'07, 2007, pp. 454-461.
23. Gallippi C.M., Trahey G.E. Adaptive clutter filtering via blind source separation for two-dimensional ultrasonic blood velocity measurement. Ultrasonic imaging 2002, 24:193-214.
24. M. Gupta, S.C. Douglas, Beamforming initialization and data prewhitening in natural gradient convolutive blind source separation of speech mixtures, in: Proceedings of the 7th International Conference on Independent Component Analysis and Signal Separation, ICA'07, 2007, pp. 462-470.
25. F.M. Ham, N.A. Faour, J.C. Wheeler, Infrasound signal separation using independent component analysis, in: Proceedings of the 21st Seismic Research Symposium, SRS'99: Technologies for Monitoring the Comprehensive Nuclear-Test-Ban Treaty, 1999, pp. II-133-II-140.
26. S. Ikeda, N. Murata, An approach to blind source separation of speech signals, in: Proceedings of the 8th International Conference on Artificial Neural Networks, ICANN'98, 1998, pp. 761-766.
27. M.Z. Ikram, D.R. Morgan, A beamforming approach to permutation alignment for multichannel frequency-domain blind speech separation, in: Proceedings of the 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP'02, 2002, pp. I-881-I-884.
28. M. Ito, Y. Takeuchi, T. Matsumoto, H. Kudo, M. Kawamoto, T. Mukai, N. Ohnishi, Moving-source separation using directional microphones, in: Proceedings of the 2nd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT'02, 2002, pp. 523-526.
29. Y. Izumi, N. Ono, S. Sagayama, Sparseness-based 2ch BSS using the EM algorithm in reverberant environment, in: Proceedings of the 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA'07, 2007, pp. 147-150.
30. Kraskov A., Stögbauer H., Grassberger P. Estimating mutual information. Physical Review E 2004, 69.
31. T.T. Kristjánsson, J.R. Hershey, P.A. Olsen, S.J. Rennie, R.A. Gopinath, Super-human multi-talker speech recognition: The IBM 2006 speech separation challenge system, in: Proceedings of the 9th International Conference on Spoken Language Processing, Interspeech'06, 2006, pp. 97-100.
32. Kuttruff H. Room Acoustics 2000, Spon Press, London, UK. 4th ed.
33. R.H. Lambert, A.J. Bell, Blind separation of multiple speakers in a multipath environment, in: Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP'97, 1997, pp. I-423-I-426.
34. Lockwood M.E., Jones D.L., Bilger R.C., Lansing C.R., O'Brien W.D., Wheeler B.C., Feng A.S. Performance of time- and frequency-domain binaural beamformers based on recorded signals from real rooms. Journal of the Acoustical Society of America 2004, 115:379-391.
35. Blind Speech Separation 2007, Springer, Dordrecht, the Netherlands. S. Makino, T.-W. Lee, H. Sawada (Eds.).
36. M.I. Mandel, D.P.W. Ellis, T. Jebara, An EM algorithm for localizing multiple sound sources in reverberant environments, in: Advances in Neural Information Processing Systems, NIPS 19, 2007, pp. 953-960.
37. Mitianoudis N., Davies M.E. Audio source separation of convolutive mixtures. IEEE Transactions on Speech and Audio Processing 2003, 11:489-497.
38. N. Mitianoudis, T. Stathaki, Underdetermined source separation using mixtures of warped Laplacians, in: Proceedings of the 7th International Conference on Independent Component Analysis and Signal Separation, ICA'07, 2007, pp. 236-243.
39. Mukai R., Araki S., Sawada H., Makino S. Evaluation of separation and dereverberation performance in frequency domain blind source separation. Acoustical Science and Technology 2004, 25:119-126.
40. Mukai R., Sawada H., Araki S., Makino S. Blind source separation for moving speech signals using blockwise ICA and residual crosstalk subtraction. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences 2004, E87-A:1941-1948.
41. Nguyen Thi H.-L., Jutten C. Blind source separation for convolutive mixtures. Signal Processing 1995, 45:209-229.
42. Nix J., Hohmann V. Combined estimation of spectral envelopes and sound source direction of concurrent voices by multidimensional statistical filtering. IEEE Transactions on Audio, Speech and Language Processing 2007, 15:995-1008.
43. A. Ozerov, C. Févotte, Multichannel non-negative matrix factorization in convolutive mixtures with application to blind audio source separation, in: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP'09, Taipei, Taiwan, April 19-24, 2009, pp. 3137-3140.
44. Parra L.C., Alvino C.V. Geometric source separation: merging convolutive source separation with geometric beamforming. IEEE Transactions on Speech and Audio Processing 2002, 10:352-362.
45. Parra L.C., Spence C. Convolutive blind separation of non-stationary sources. IEEE Transactions on Speech and Audio Processing 2000, 8:320-327.
46. Pedersen M.S., Larsen J., Kjems U., Parra L.C. A survey of convolutive blind source separation methods. Springer Handbook of Speech Processing 2007, 1065-1094. Springer, New York, NY. J. Benesty, M.M. Sondhi, Y. Huang (Eds.).
47. Persia L.D., Yanagida M., Rufiner H.L., Milone D. Objective quality evaluation in blind source separation for speech recognition in a real room. Signal Processing 2007, 87:1951-1965.
48. D.-T. Pham, C. Servière, H. Boumaraf, Blind separation of speech mixtures based on nonstationarity, in: Proceedings of the 7th International Symposium on Signal Processing and its Applications, ISSPA'03, 2003, pp. II-73-II-76.
49. A. Pietilä, M. El-Segaier, R. Vigário, E. Pesonen, Blind source separation of cardiac murmurs from heart recordings, in: Proceedings of the 6th International Conference on Independent Component Analysis and Blind Source Separation, ICA'06, 2006, pp. 470-477.
50. Puigt M., Deville Y. Time-frequency ratio-based blind separation methods for attenuated and time-delayed sources. Mechanical Systems and Signal Processing 2005, 19:1348-1379.
51. M. Puigt, E. Vincent, Y. Deville, Validity of the independence assumption for the separation of instantaneous and convolutive mixtures of speech and music sources, in: Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation, ICA'09, 2009.
52. Rahbar K., Reilly J.P. A frequency domain method for blind source separation of convolutive audio mixtures. IEEE Transactions on Speech and Audio Processing 2005, 13:832-844.
53. Roman N., Srinivasan S., Wang D.L. Binaural segregation in multisource reverberant environments. Journal of the Acoustical Society of America 2006, 120:4040-4051.
54. J.P. Rosca, C. Borss, R.V. Balan, Generalized sparse signal mixing model and application to noisy blind source separation, in: Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP'04, 2004, pp. III-877-III-880.
55. Sawada H., Araki S., Mukai R., Makino S. Grouping separated frequency components with estimating propagation model parameters in frequency-domain blind source separation. IEEE Transactions on Audio, Speech and Language Processing 2007, 15:1592-1604.
56. Sawada H., Mukai R., Araki S., Makino S. A robust and precise method for solving the permutation problem of frequency-domain blind source separation. IEEE Transactions on Speech and Audio Processing 2004, 12:530-538.
57. H. Sawada, R. Mukai, S.F.G.M. de la Kethulle de Ryhove, S. Araki, S. Makino, Spectral smoothing for frequency-domain blind source separation, in: Proceedings of the 2003 International Workshop on Acoustic Echo and Noise Control, IWAENC'03, 2003, pp. 311-314.
58. D. Schobben, K. Torkkola, P. Smaragdis, Evaluation of blind signal separation methods, in: Proceedings of the 1st International Workshop on Independent Component Analysis and Blind Signal Separation, ICA'99, 1999, pp. 261-266.
59. Smaragdis P. Blind separation of convolved mixtures in the frequency domain. Neurocomputing 1998, 22:21-34.
60. Smith D., Lukasiak J., Burnett I.S. An analysis of the limitations of blind signal separation applications with speech. Signal Processing 2006, 86:353-359.
61. Thomas J., Deville Y., Hosseini S. Time-domain fast fixed-point algorithms for convolutive ICA. IEEE Signal Processing Letters 2006, 13:228-231.
62. M. Togami, T. Sumiyoshi, A. Amano, Sound source separation of overcomplete convolutive mixtures using generalized sparseness, in: Proceedings of the 2006 International Workshop on Acoustic Echo and Noise Control, IWAENC'06, 2006.
63. Vincent E. Musical source separation using time-frequency source priors. IEEE Transactions on Audio, Speech and Language Processing 2006, 14:91-98.
64. E. Vincent, Complex nonconvex lp norm minimization for underdetermined source separation, in: Proceedings of the 7th International Conference on Independent Component Analysis and Signal Separation, ICA'07, 2007, pp. 430-437.
65. Vincent E., Gribonval R., Févotte C. Performance measurement in blind audio source separation. IEEE Transactions on Audio, Speech and Language Processing 2006, 14:1462-1469.
66. Vincent E., Gribonval R., Plumbley M.D. Oracle estimators for the benchmarking of source separation algorithms. Signal Processing 2007, 87:1933-1950.
67. E. Vincent, H. Sawada, P. Bofill, S. Makino, J.P. Rosca, First stereo audio source separation evaluation campaign: Data, algorithms and results, in: Proceedings of the 7th International Conference on Independent Component Analysis and Signal Separation, ICA'07, 2007, pp. 552-559.
68. Computational Auditory Scene Analysis: Principles, Algorithms and Applications 2006, Wiley, New York, NY. D.L. Wang, G.J. Brown (Eds.).
69. S. Wehr, A. Lombard, H. Buchner, W. Kellermann, "Shadow BSS" for blind source separation in rapidly time-varying acoustic scenes, in: Proceedings of the 7th International Conference on Independent Component Analysis and Signal Separation, ICA'07, 2007, pp. 560-568.
70. S. Winter, H. Sawada, S. Araki, S. Makino, Overcomplete BSS for convolutive mixtures based on hierarchical clustering, in: Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation, ICA'04, 2004, pp. 652-660.
71. H.-C. Wu, J.C. Príncipe, Generalized anti-Hebbian learning for source separation, in: Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP'99, 1999, pp. II-1073-II-1076.
72. Z. Xinhua, Z. Anqing, F. Jianping, Y. Shaoqing, Study on blind separation of underwater acoustic signals, in: Proceedings of the 5th IEEE International Conference on Signal Processing, ICSP'00, 2000, pp. III-1802-III-1805.
73. Yilmaz O., Rickard S.T. Blind separation of speech mixtures via time-frequency masking. IEEE Transactions on Signal Processing 2004, 52:1830-1847.
74. Zibulevsky M., Pearlmutter B.A., Bofill P., Kisilev P. Blind source separation by sparse decomposition in a signal dictionary. Independent Components Analysis: Principles and Practice 2001, 181-208. Cambridge University Press, Cambridge, UK. S.J. Roberts, R.M. Everson (Eds.).