Most existing binaural approaches to speech segregation rely on spatial filtering. In environments with minimal reverberation and when sources are well separated in space, spatial...
John Woodruff, Rohit Prabhavalkar, Eric Fosler-Lus...
Sparse Component Analysis is a relatively young technique that relies upon a representation of signal occupying only a small part of a larger space. Mixtures of sparse components ...
In this paper, minimization of the statistical dependence is exploited for acoustic source localization purposes. Originally developed for the separation of signal mixtures, we sh...
Anthony Lombard, Yuanhang Zheng, Walter Kellermann
Sound source localization (SSL) is an essential task in many applications involving speech capture and enhancement. As such, speaker localization with microphone arrays has receive...
This paper describes an algorithm that performs a simple form of computational auditory scene analysis to separate multiple speech signals from one another on the basis of the mod...