In this paper, we propose a directional signal extraction network (DSENet). DSENet is a low-
latency, real-time neural network that, given a reverberant mixture of signals captured by a …

We consider the speech enhancement problem in a moving car through a blind source
separation BSS scheme involving two sensors. To correct the distortion brought by this …

This paper study the blind estimation of the diffuse background noise for the hands-free
speech interface. Some recent papers showed that it is possible to use blind signal …

The performance of automatic speech recognition for signals acquired through a hands-free
speech interface is limited by the adverse effect of the noise and the reverberation …

We introduce a new optimized microphone-array processing method for a spokendialogue
robot in noisy and reverberant environments. The method is based on frequency-domain …

In this paper, we build a method based on frequency-domain blind signal extraction (FD-
BSE) to jointly suppress diffuse background noise and late reverberation for a hands-free …

Microphone arrays are useful in determining the space-time structure of an acoustic field.
They are widely employed in many popular acoustic signal processing applications …

In this paper, we apply the higher-order statistics parameter to automatically improve the
performance of blind speech enhancement. Recently, a method to suppress both diffuse …

This letter describes a speech enhancement algorithm for stereo signals corrupted by diffuse
noise. It estimates the noise signal and also a beamformed target signal based on blind …

Several recent methods for speech enhancement in presence of diffuse background noise
use frequency domain blind signal separation to estimate the diffuse noise and a nonlinear …