Maximum a Posteriori Binary Mask Estimation for Underdetermined Source Separation Using Smoothed Posteriors

Source Number Estimation and Clustering for Underdetermined Blind Source Separation

Much research has been undertaken in the field of blind source separation (BSS) and a large number of algorithms have been developed. However, most of them assume that the number of sources is known. In this paper we present an algorithm to estimate the number of sources in the (over-)determined and underdetermined case. We call this algorithm NOSET (Number of Sources Estimation Technique). We ...

Single channel speech separation using maximum a posteriori estimation

We present a new approach for separating two speech signals when only a single recording of their additive mixture is available. In this approach, log spectra of the sources are estimated using maximum a posteriori estimation given the mixture’s log spectrum and the probability density functions of the sources. It is shown that the estimation leads to a two-state, non-linear filter whose states...

Blind Spectral-GMM Estimation for Underdetermined Instantaneous Audio Source Separation

The underdetermined blind audio source separation problem is often addressed in the time-frequency domain by assuming that each time-frequency point is an independently distributed random variable. Other approaches which are not blind assume a more structured model, like the Spectral Gaussian Mixture Models (Spectral-GMMs), thus exploiting statistical diversity of audio sources in the separatio...

Source Separation and DOA Estimation for Underdetermined Auditory Scene

On underdetermined source separation

This paper discusses some theoritical results on underdetermined source separation i.e. when the mixing matrix is degenerate, espcially when there is more sources than observations. In this case, we show that the sources can be restored up to an arbitrary additive random vector. In the particular case of discrete sources, very relevant for digital communications, we show that this vector is cer...