References

1

A.S.Bregman, ``Computational Auditory Scene Analysis,'' MIT Press, Cambrdige, MA, 1990.

2

G.J.Brown and M.P.Cooke, ``Computational auditory scene analysis'', Computer Speech and Language, vol.8 no.4, pp.297-336.

3

D. J. Godsmark and G. J. Brown, ``A blackboard architecture for computational auditory scene analysis", Speech Communication, vol.27, pp. 351-366, 1999.

4

D.Chazan, Y.Stettiner and D.Malah, ``Optimal multi-pitch estimation using the EM algorithm for co-channel speech separation'', ICASSP'93, vol.2, pp.728-731, 1993.

5

M.P.Cooke and D.P.W.Ellis, ``The auditory organization of speech and other sources in listeners and computational models'', Speech Communication, March 1999.

6

M.P.Cooke and G. J. Brown, ``Computational auditory scene analysis: Exploiting principles of perceived continuity", Speech Communication, vol.13, pp. 391-399, 1993.

7

A. de Cheveigne', ``Separation of concurrent harmonic sounds : Fundamental frequency estimation and a time-domain cancellation model of auditory processing, JASA'93, pp.3271-3290.

8

D.P.W.Ellis, ``A simulation of vowel segregation based on across-channel glottal-pulse synchrony", Tech Report 252, ASA'93, 1993.

9

D.P.Ellis, ``Prediction driven auditory scene analysis", Ph.D. thesis, MIT, Dept. of Elec. Eng. and Com. Sci., 1996.

10

G.Cauwenberghs, ``Monoaural separation of independent acoustical components,'' IEEE Symp. Circuit & Systems, ISCAS'99, 1999.

11

R.Kumaresan and C.S.Ramalingam, `` On separating voiced-speech into its components", Signals, Systems and Computers, vol.2, pp.041 -1046, 1993.

12

R.Meddis and M.J.Hewitt, ``Modelling the identification of concurrent vowels with different fundamental frequencies", h{Journal of the Acoustical Society of America 91(1), pp. 233-245, 1992.

13

J.A.Moorer, ``On the segmentation and analysis of continuous musical sound by digital computer", h{Ph.D. dissertation, Stanford University, Department of Computer Science", 1975.

14

D.K.Mellinger, ``Event formation and separation of musical sound", h{Ph.D. dissertation", Stanford University, Department of Music, 1991.

15

T.W.Parsons, ``Separation of speech from interfering speech by means of harmonic selection'', JASA'76, vol.60, pp.911-918, 1976.

16

T.F.Quatieri and R.J.McAuley, ``Audio signal processing based on sinusoidal analysis/synthesis", Applications of DSP to Audio & Acoustics, Kluwer Academic Publishers, pp.343-416, 1998.

17

A.Jourjine, S.Rickard and O.Yilmaz, ``Blind Separation of Disjoint Orthogonal Signals : Demixing N Sources From 2 Mixtures'', ICASSP'2000, Vol.5, pp.2985-2988, 2000.

18

O. Yilmaz and S. Rickard, ``Blind Separation of Speech Mixtures via Time-Frequency Masking'', submitted to the IEEE Transactions on Signal Processing , 2002.

19

S.T.Roweis, ``One microphone source separation,'' Advances in Neural INformation Processing Systems, vol.3, pp.793-799, 2001.

20

http://www.slaney.org/malcolm/pubs.html

21

M.Slaney, D.Naar and R.F.Lyon, ``Auditory model inversion for sound separation'', ICASSP'94, Adelaide, 1994.

22

A.Klapuri, ``Multipitch estimation and sound separation by the spectral smoothness principle'', ICASSP'2001, 2001.

23

T.Virtanen and A.Klapuri, ``Separation of harmonic sound sources using sinusoidal modeling'', ICASSP'2000, 2000.

24

T.Virtanen and A.Klapuri, ``Separation of harmonic sounds using multiptich analysis and iterative parameter estimation,'' WASPAA 2001, 2001.

25

T.Virtanen and A.Klapuri, ``Separation of harmonic sounds using linear models for the overtone series,'' ICASSP 2002, 2002.

26

D.L.Wang and G.J.Brown, ``Separation of speech from interfering sounds based on oscillatory correlation, IEEE Trans on Neural Networks, vol.10, pp.684-697.

27

A.Wang, ``Instantaneous and frequency-warped signal processing techniques for auditory source separation'', Ph.D. Thesis, CCRMA, Stanford University, 1994.

28

M.Weintraub, ``A theory and computational model of auditory monaural sound separation'', Ph.D. Dissertation, Stanford University, 1985.

29

S.A.Abdallah and M.D.Plumbley, ``If the independent components of natural images are edges, what are the independent components of natural sounds?'', ICA'2001, pp.534-539.

30

M.Casey and A.Westner, ``Separation of mixed audio sources by independent subspace analysis," ICMC'2000, Berlin, 2000.

31

Speech Enhancement From Interfering Sounds Using CASA Techniques and Blind Source Separation",

32

A.Hyvärinen, ``Beyond Independent Components'', Proc. Int. Conf on Articial Neural Networks, 1999.

33

T.W.Lee and G.J.Jang, ``The statistical structures of male and female speech signals,'' in Proc. ICASSP, Salt Lake City, Utah, May 2001.

34

G.J.Jang, T.W.Lee and Y.H.Oh, ``Blind separation of single channel mixture using ICA basis functions,'' Proc. ICA 2001, pp.595-600, 2001 .

35

J.H.Lee, H.Y.Jung, T.W.Lee and S.Y.Lee, ``Speech featre extraction using independent component analysis,'' in Proc. ICASSP, Istanbul, Turkey, vol.3, pp.1631-1634, 2000.

36

M.Joho, H.Mathis and R.H.Lambert, ``Overdetermined blind source separation : using more sensors than source signals in a noisy mixture,'' Proc. ICA2000, Helsinki,Finland, pp. 81-86, 2000.

37

A.J.Bell and T.J.Sejnowski, ``An information-maximization approach to blind separation and blind deconvolution,'' Neural Computation, vol.7, no.6, pp.1004-1034, 1995.

38

E.Scheirer, ``Music listening systems'', Ph.D. Thesis, MIT, Media Lab, 2000.

39

P.Smaragdis, ``Redundancy reduction for computational audition, unifying approach", Ph.D. thesis, MAS department, MIT, 2001.

40

M.Zibulevsky and B.A.Pearlmutter, ``Blind source separation by sparse decomposition'', Neural Computations, 2001.