1 research outputs found
Blind speech separation based on undecimated wavelet packet-perceptual filterbanks and independent component analysis
In this paper, we address the problem of blind separation of speech mixtures.
We propose a new blind speech separation system, which integrates a perceptual
filterbank and independent component analysis (ICA) and using kurtosis
criterion. The perceptual filterbank was designed by adjusting undecimated
wavelet packet decomposition (UWPD) tree in order to accord to critical band
characteristics of psycho-acoustic model. Our proposed technique consists on
transforming the observations signals into an adequate representation using
UWPD and Kurtosis maximization criterion in a new preprocessing step in order
to increase the non-Gaussianity which is a pre-requirement for ICA. Experiments
were carried out with the instantaneous mixture of two speech sources using two
sensors. The obtained results show that the proposed method gives a
considerable improvement when compared with FastICA and other techniques.Comment: Perceptual Filter-Bank, Undecimated Wavelet Packet Decomposition,
Independent Component Analysis, Blind speech separation. Downloaded from
http://www.ijcsi.org/papers/IJCSI-8-3-1-265-272.pd