This paper describes aneural blind source separation (BSS) method based on amortized
variational inference (AVI) of a non-linear generative model of mixture signals. A classical …

We address the problem of separating moving sources using online independent vector
analysis (IVA). To solve this problem, researchers have extended the iterative projection (IP) …

Speech signals observed from distantly placed microphones may have some acoustic
interference, such as noise and reverberation. These may lead to the degradation of the …

This article describes a computationally-efficient statistical approach to joint (semi-) blind
source separation and dereverberation for multichannel noisy reverberant mixture signals. A …

Stockmovement prediction using Tweets (text) and historical price signals (time series)
remains a challenging task due to the complex, noisy and dynamic nature of the stock …

A microphone positioned far away observes speech signals with little acoustic interference,
in terms of both reverberation and noise. As a result, the quality of blind speech degrades …

Speech separation aims to extract multiple speech sources from mixed signals. In this paper,
we propose SepDiff-a monaural speech separation method based on the denoising …

This article proposes a new source model and training scheme to improve the accuracy and
speed of the multichannel variational autoencoder (MVAE) method. The MVAE method is a …

Wireless communication technology has been widely used in marine engineering, marine
ranching and Marine environmental monitoring. However, structural redundancy and …

In this paper, we propose an online blind source separation (BSS) method that is robust
against the self-rotation of microphone arrays. Online auxiliary-function-based independent …