On 3 mar, 12:14, dbormpou wrote:
>
> what i mean is
> that i want to eliminate human made sounds( cars, airplanes, ships ...)
> from the rest of the recording. i hope that can assist you in giving me
> some help.
>
> Dimitris
Hi.
The best methods to separate several sources from only two mixtures
are sparsity based BSS methods. In a first step, they estimate the
mixing matrix. Then, they reconstruct the sources, in the determined
(same number of sources and mixtures) or underdetermined [1,2] (more
sources than observations) mixtures. Unfortunately, I am not sure that
you will have a good quality of separation by only using a BSS
method.
Concerning the sparsity based methods, some of them, e.g. [3,4],
suppose that in the analysis domain, at most one source is active.
This hypothesis is very difficult to satisfy when several sources
occur.
On the contrary, several authors, e.g. [5], suppose that, for each
source, there exist a tiny zone in the analysis domain where a source
occurs alone. This assumption is less restrictive than the previous
one. Note that [5] has only been proposed for the determined case, but
using [2], you can easily extend [5] to underdetermined mixtures
(which is the situation you met).
Between both above families, you have a lot of methods that have been
proposed, e.g. [6,7].
Last but not least, you have a good survey of convolutive BSS methods
in [8].
Good luck!
Matthieu
www.ast.obs-mip.fr/puigt
[1] P. Bofill, E. Monte: "Underdetermined Convoluted Source
Reconstruction Using LP and SOCP, and a Neural Approximator of the
Optimizer". ICA 2006: 569-576.
[2] R. Saab, �. Yilmaz, M. J. McKeown, R. Abugharbieh,
"Underdetermined anechoic blind source separation via l^{q}-basis-
pursuit with q < 1". IEEE Transactions on Signal Processing, 55(8):
4004-4017, August 2007.
[3] O. Yilmaz, S. Rickard: "Blind Separation of Speech Mixtures via
Time-Frequency Masking". IEEE Transactions on Signal Processing, 52(7):
1830-1847, July 2004.
[4] P. Bofill: "Underdetermined blind separation of delayed sound
sources in the frequency domain". Neurocomputing, 16(6):627-641, 2003.
[5] M. Puigt, Y. Deville: "Time-frequency ratio-based blind separation
methods for attenuated and time-delayed sources". Mechanical System
and Signal Processing, 19(6):1348-1379, November 2005.
[6] A. Blin, S. Araki, S. Makino, "Underdetermined blind separation of
convolutive mixtures of speech using time-frequency mask and mixing
matrix estimation". IEICE Transactions Fundamentals, E88--A(7):
1693-1700, July 2005.
[7] S. Arberet, R. Gribonval, F. Bimbot, "A Robust Method to Count and
Locate Audio Sources in a Stereophonic Linear Anechoic Mixture".
ICASSP 2007, vol. 3, pp. 745-748.
[8] M. S. Pedersen, J. Larsen, U. Kjems, L. C. Parra, "A Survey of
Convolutive Blind Source Separation Methods". Springer Handbook on
Speech Processing and Speech Communication, 2007.