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ICA
2004
Springer
13 years 10 months ago
Nonlinear Postprocessing for Blind Speech Separation
Abstract. Frequency domain ICA has been used successfully to separate the utterances of interfering speakers in convolutive environments, see e.g. [6],[7]. Improved separation resu...
Dorothea Kolossa, Reinhold Orglmeister
IJON
1998
172views more  IJON 1998»
13 years 4 months ago
Blind separation of convolved mixtures in the frequency domain
In this paper we employ information theoretic algorithms, previously used for separating instantaneous mixtures of sources, for separating convolved mixtures in the frequency doma...
Paris Smaragdis
ICASSP
2009
IEEE
13 years 2 months ago
Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
Shoko Araki, Tomohiro Nakatani, Hiroshi Sawada, Sh...
EAAI
2006
157views more  EAAI 2006»
13 years 4 months ago
Blind source separation based on self-organizing neural network
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
Anke Meyer-Bäse, Peter Gruber, Fabian J. Thei...
ICA
2004
Springer
13 years 10 months ago
Exploiting Spatiotemporal Information for Blind Atrial Activity Extraction in Atrial Arrhythmias
The analysis and characterization of atrial tachyarrhythmias requires the previous estimation of the atrial activity (AA) free from any ventricular activity and other artefacts. Th...
Francisco Castells, Jorge Igual, Vicente Zarzoso, ...