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ISCAS
2005
IEEE
149views Hardware» more  ISCAS 2005»
15 years 6 months ago
Audio source separation by source localization with Hilbert spectrum
—This paper presents a technique to separate the audio signals from their binaural mixtures based on localizing the sources in the space of interaural differences. Two interaural...
M. Khademul Islam Molla, Keikichi Hirose, Nobuaki ...
98
Voted
ICA
2004
Springer
15 years 6 months ago
Blind Source Separation of Linear Mixtures with Singular Matrices
We consider the Blind Source Separation problem of linear mixtures with singular matrices and show that it can be solved if the sources are sufficiently sparse. More generally, we ...
Pando G. Georgiev, Fabian J. Theis
121
Voted
ESANN
2006
15 years 2 months ago
Bayesian source separation: beyond PCA and ICA
Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...
Ali Mohammad-Djafari
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
14 years 10 months ago
Classification with Sums of Separable Functions
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...
Jochen Garcke
TASLP
2010
159views more  TASLP 2010»
14 years 7 months ago
Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model
This article addresses the modeling of reverberant recording environments in the context of under-determined convolutive blind source separation. We model the contribution of each ...
Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gr...