Starting with a simple generative model and the assumption of statistical independence of
the underlying components, independent component analysis (ICA) decomposes a given …

A complete overview of distant automatic speech recognition The performance of
conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon …

This paper presents a new method for blind sparse source separation. Some sparse source
separation methods, which rely on source sparseness and an anechoic mixing model, have …

In the framework of the European HearCom project, promising signal enhancement
algorithms were developed and evaluated for future use in hearing instruments. To assess …

A new type of independent component analysis (ICA) model showed excellence in tackling
the blind source separation problem in the frequency domain. The new model, called …

Modern systems for acoustic man-machine communication, such as teleconferencing
equipment or speech dialog systems, will have to provide hands-free voice interfaces with …

While standard approaches for acoustic echo cancellation in telecommunication systems
assume that the echo path to be identified can be modeled by a linear system, in practice …

Alfred Mertins Grundlagen der Signalbeschreibung, Filterbänke, Wavelets, Zeit-Frequenz-
Analyse, Parameter- und Signalschätzu Page 1 Signaltheorie Alfred Mertins Grundlagen der …

In this paper we present a framework for multichannel blind signal processing for
convolutive mixtures, such as blind source separation (BSS) and multichannel blind …

In this paper, we show that minimization of the statistical dependence using broadband
independent component analysis (ICA) can be successfully exploited for acoustic source …