We consider the blind separation of sources with general (e.g., not necessarily stationary) temporal covariance structures. When the sources’ temporal covariance matrices are kn...
In this paper, we propose a novel algorithm to detect/compensate online interference effects when integrating Global Navigation Satellite System (GNSS) and Inertial Navigation Sys...
This paper presents a novel method for solving the permutation problem inherent to frequency domain blind signal separation of multiple simultaneous speakers. As conventional meth...
While much work has been dedicated to exploring how best to incorporate the Ideal Binary Mask (IBM) in automatic speech recognition (ASR) for noisy signals, we demonstrate that th...
The recently developed i-vector framework for speaker recognition has set a new performance standard in the research field. An i-vector is a compact representation of a speaker u...