Sound Source Separation

DAFX: Digital Audio Effects: Second Edition

Volumn , Issue , 2011, Pages 551-588

  Evangelista, G ^a   Marchand, S ^b   Plumbley, M D ^c   Vincent, E ^d  

^a LINKÖPING UNIVERSITY   (Sweden)

^b UNIVERSITÉ BORDEAUX 1   (France)

^c QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^d NONE

Author keywords

Actual source separation techniques and quality assessment; Binaural source separation, source segregation spatial cues, extracted from signals at both ears; Computational auditory scene analysis (CASA) artificial systems, mimicking localization separation process; Delay and sum beamformer and null beamformer fixed designs, and source DOAs; Distribution, power normalized magnitude STFT coefficients of speech source; Frequency domain independent component analysis; Separation of sources from single channel (monophonic) mixtures challenging; Sound recording and processing need for specific digital audio effects for sounds; Sound source separation; Time frequency representations decreasing overlap between sources

Indexed keywords

EID: 84886063988     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9781119991298.ch14     Document Type: Chapter

References (38)

1. L. Benaroya, F. Bimbot and R. Gribonval. Audio source separation with a single sensor. IEEE Transactions on Audio, Speech, and Language Processing, 14(1): 191-199, January 2006.
2. J. P. Bello, L. Daudet, S. A. Abdallah, C. D. Duxbury, M. E. Davies and M. B. Sandler. A tutorial on onset detection in music signals. IEEE Transactions on Speech and Audio Processing, 13(5): 1035-1047, September 2005.
3. J. Blauert. Spatial Hearing. MIT Press, Cambridge, MA, 2001.
4. A. S. Bregman and S. Pinker. Auditory streaming and the building of timbre. Canadian Journal of Psychology, 32(1): 19-31, 1978.
5. A. S. Bregman. Auditory Scene Analysis: The Perceptual Organization of Sound. MIT Press, Cambridge, MA, 1990.
6. M. S. Brandstein and D. B. Ward (eds). Microphone Arrays: Signal Processing Techniques and Applications. Springer, New York, NY, 2001.
7. C. Faller and J. Merimaa. Source localization in complex listening situations: Selection of binaural cues based on interaural coherence. Journal of the Acoustical Society of America, 116(5): 3075-3089, November 2004.
8. W. Gaik. Combined evaluation of interaural time and intensity differences: Psychoacoustic results and computer modeling. Journal of the Acoustical Society of America, 94(1): 98-110, 1993.
9. J. W. Gordon. Perception of Attack Transients in Musical Tones. PhD thesis, Department of Music, Stanford University, California, USA, 1984.
10. S. Grossberg. Pitch-based streaming in auditory perception. In N. Griffith and P. Todd (eds.), Musical networks, pp 117-140, MIT Press, Cambridge, MA, 1996.
11. R. Gribonval and M. Zibulevsky. Sparse component analysis. In P. Comon and C. Jutten (eds), Handbook of Blind Source Separation, pp. 367-420. Academic Press, Oxford, UK, 2010.
12. W. M. Hartmann. Pitch perception and the segregation and integration of auditory entities. In Gerald M. Edelman, W. Einar Gall and W. Maxwell Cowan (eds.), Auditory Function: Neurobiological Bases of Hearing, pp. 623-645. Wiley, New York, USA, 1988.
13. Viste and G. Evangelista. A method for separation of overlapping partials based on similarity of temporal envelopes in multi-channel mixtures. IEEE Trans. on Audio, Speech, and Language Processing, 14(3): 1051-1061, May 2006.
14. F. Itakura. Minimum prediction residual principle applied to speech recognition. IEEE Transactions on Acoustics, Speech, and Signal Processing, 23(1): 67-72, 1975.
15. P. X. Joris, P. H. Smith, and T. C. T. Yin. Coincidence detection in the auditory system: 50 years after Jeffress. Neuron, 21: 1235-1238, 1998.
16. A. P. Klapuri. Multiple fundamental frequency estimation based on harmonicity and spectral smoothness. IEEE Transactions on Speech and Audio Processing, 11(6): 804-816, November 2003.
17. M. Lagrange. Modélisation Sinusoïdale des Sons Polyphoniques. PhD thesis, LaBRI, University of Bordeaux 1, Talence, France, December 2004. In French.
18. M. Lagrange. A new dissimilarity metric for the clustering of partials using the common variation cue. In Proceedings of the International Computer Music Conference (ICMC), Barcelona, Spain, September 2005.
19. W. Lindemann. Extension of a binaural cross-correlation model by contralateral inhibition. i.simulation of lateralization for stationary signals. Journal of the Acoustical Society of America, 80(6): 1608-1622, 1986.
20. D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401: 788-791, 21 October 1999.
21. S. McAdams. Segregation of concurrent sounds: effects of frequency modulation coherence. Journal of the Acoustical Society of America, 86(6): 2148-2159, 1989.
22. F. Menzer. Binaural Audio Signal Processing Using Interaural Coherence Matching. PhD thesis, EPflLausanne, Switzerland, 2010.
23. F. Nesta, P. Svaizer and M. Omologo. Cumulative state coherence transform for a robust two-channel multiple source localization. In Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation, pp. 290-297, 2009.
24. M. Raspaud, H. Viste and G. Evangelista. Binaural source localization by joint estimation of ILD and ITD. IEEE Transactions Audio, Speech and Language Processing, 18: 68-77, 2010.
25. H. Sawada, S. Araki and S. Makino. Frequency domain blind source separation. In S. Makino, T.-W. Lee, and H. Sawada (eds), Blind Speech Separation, pp. 47-78. Springer, Dordrecht, The Netherlands, 2007.
26. P. Smaragdis and J. C. Brown. Non-negative matrix factorization for polyphonic music transcription. In Proceedings of the 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp. 177-180, New Paltz, New York, 19-22 October 2003.
27. M. N. Schmidt and M. Mørup. Nonnegative matrix factor 2-D deconvolution for blind single channel source separation. In Independent Component Analysis and Signal Separation, International Conference on, volume 3889 of Lecture Notes in Computer Science (LNCS), pp. 700-707. Springer, New York, NY April 2006.
28. P. Smaragdis. Non-negative matrix factor deconvolution: Extraction of multiple sound sources from monophonic inputs. In Independent Component Analysis and Blind Signal Separation: Proceedings of the Fifth International Conference (ICA 2004), pp. 494-499, Granada, Spain, September 22-24 2004.
29. P. Smaragdis. Convolutive speech bases and their application to supervised speech separation. IEEE Transactions on Audio, Speech, and Language Processing, 15(1): 1-12, Jan. 2007.
30. R. M. Stern and C. Trahiotis. Models of binaural perception. In R. H. Gilkey and T. R. Anderson (eds.), Binaural and Spatial Hearing in Real and Virtual Environments, pp. 499-531. Lawrence Erlbaum Associates, 1997.
31. E. Vincent, R. Gribonval, and C. Févotte. Performance measurement in blind audio source separation. IEEE Transactions on Audio, Speech and Language Processing, 14(4): 1462-1469, 2006.
32. T. Virtanen. Separation of sound sources by convolutive sparse coding. In Proceedings of the ISCA Tutorial and Research Workshop on Statistical and Perceptual Audio Processing (SAPA 2004), Jeju, Korea, 3 October 2004.
33. H. Viste. Binaural Localization and Separation Techniques. PhD thesis, EPFL, Lausanne, Switzerland, 2004.
34. E. Vincent, M. G. Jafari, S. A. Abdallah, M. D. Plumbley and M. E. Davies. Probabilistic modeling paradigms for audio source separation. In W. Wang (ed), Machine Audition: Principles, Algorithms and Systems. IGI Global, Hershey, PA, 2010.
35. D. L. Wang and G. J. Brown (eds). Computational Auditory Scene Analysis: Principles, Algorithms and Applications. Wiley-IEEE Press, Hoboken, NJ, 2006.
36. B. Wang and M. D. Plumbley. Investigating single-channel audio source separation methods based on non-negative matrix factorization. In A. K. Nandi and X. Zhu (eds), Proceedings of the ICA Research Network International Workshop, 18-19 Sept 2006 , pp. 17-20, 2006.
37. R. S. Woodworth and H. Schlosberg. Experimental Psychology. Holt, New York, NY 1954.
38. Ö. Yi{dotless}lmaz and S. T. Rickard. Blind separation of speech mixtures via time-frequency masking. IEEE Transactions on Signal Processing, 52(7): 1830-1847, 2004.