Recording multiple sound sources in a reverberant environment results in convolutive
mixtures. Sound sources can be extracted from microphone array recordings of such …

This article presents a Non-negative Tensor Factorization based method for sound source
separation from Ambisonic microphone signals. The proposed method enables the use of …

This paper presents an extension of the existing Non-negative Tensor Factorization (NTF)
based method for sound source separation under reverberant conditions, formulated for …

This paper presents a novel Non-negative Tensor Factorization (NTF) based approach to
tracking and separation of moving sound sources, formulated in the Spherical Harmonic …

This paper presents a Non-negative Tensor Factorization (NTF) based sound source
separation method with a novel convolutive Spatial Covariance Matrix (SCM) model, that is …

This paper concerns the problem of convolutive sound source separation from mutlichannel
recordings made with a spherical microphone array. In particular, we formulate two state-of …

Object-based audio relies on elemental audio signals from individual sound sources and
their associated metadata to be reconstructed at the listener side. While defining audio …

Indoor source localization based on a microphone array is still a difficult problem especially
for closely-spaced sources in strong reverberation environments, in such cases a large …