Distribution Preserving Source Separation With Time Frequency Predictive Models

The approach proposed in this paper stems from [9], which uses generative unconditional models of signal components We provide an example of a distribution preserving source in the construction of a separation scheme. While separation method, which aims at addressing perceptual the separation scenarios of [9, 10] are toy-like (because these shortcomings of state-of-the-art methods. Our approach uses approaches assume that generative models of all the mixture unconditioned generative models of signal sources. Reconstruction components are available), they still provide a clean testing is achieved by means of mix-consistent sampling ground for the proposed separation approach. In our case, from a distribution conditioned on a realization of a mix. The we focus on employing high-quality generative models to separated signals follow their respective source distributions, provide in-distribution reconstructions. Specifically, we use which provides an advantage when separation results are generative models operating in a quadrature modulated filter evaluated in a listening test.