In this paper, we present an overview on the topic of noise reduction in the short-time Fourier
transform (STFT) domain. First, we briefly review the conventional literature in the single-and …

Speech separation algorithms are often used to separate the target speech from other
interfering sources. However, purely neural network based speech separation systems often …

The topic of spherical microphone array signal processing has been gaining importance
since the publications of Meyer and Elko around 2002, and fuelled by many others since …

In many practical situations we can assume that the desired sound is strongly coherent
across the microphone array and it is corrupted by diffuse noise. We propose an algorithm to …

This work addresses this problem in the short-time Fourier transform (STFT) domain. We
divide the general problem into five basic categories depending on the number of …

We propose a new framework for joint multichannel speech source separation and acoustic
noise reduction. In this framework, we start by formulating the minimum-mean-square error …

Many purely neural network based speech separation approaches have been proposed to
improve objective assessment scores, but they often introduce nonlinear distortions that are …

In speech communication systems, the microphone signals are degraded by reverberation
and ambient noise. The reverberant speech can be separated into two components, namely …

Extracting desired source signals in noisy and reverberant environments is required in many
hands-free communication systems. In practical situations, where the position and number of …

A digital speech enhancement system that performs a specific chain of digital signal
processing operations upon multi-channel sound pick up, to result in a single, enhanced …