We propose a new algorithm for the blind source separation of acoustic sources. This
algorithm is an alternative to the popular auxiliary function based independent vector …

This paper describes aneural blind source separation (BSS) method based on amortized
variational inference (AVI) of a non-linear generative model of mixture signals. A classical …

This paper proposes harmonic vector analysis (HVA) based on a general algorithmic
framework of audio blind source separation (BSS) that is also presented in this paper. BSS …

In this paper, we address the problem of extracting all super-Gaussian source signals from a
linear mixture in which (i) the number of super-Gaussian sources K is less than that of …

This paper proposes an approach for optimizing a Convolutional BeamFormer (CBF) that
can jointly perform denoising (DN), dereverberation (DR), and source separation (SS). First …

We propose a spatial loss for unsupervised multi-channel source separation. The proposed
loss exploits the duality of direction of arrival (DOA) and beamforming: the steering and …

In many daily-life scenarios, acoustic sources recorded in an enclosure can only be
observed with other interfering sources. Hence, convolutive Blind Source Separation (BSS) …

In this paper, we present a sound field interpolation for array signal processing (ASP) that is
robust to rotation of a circular microphone array (CMA), and we evaluate beamforming as …

This paper develops a framework that can accurately perform denoising, dereverberation,
and source separation using a relatively small number of microphones. It has been …

We propose to learn surrogate functions of universal speech priors for determined blind
speech separation. Deep speech priors are highly desirable due to their superior modelling …