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» Source Separation with Gaussian Process Models
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TSP
2011
125views more  TSP 2011»
13 years 2 months ago
Weight Adjusted Tensor Method for Blind Separation of Underdetermined Mixtures of Nonstationary Sources
—In this paper, a novel algorithm to blindly separate an instantaneous linear underdetermined mixture of nonstationary sources is proposed. It means that the number of sources ex...
Petr Tichavský, Zbynek Koldovský
CVPR
2004
IEEE
14 years 9 months ago
Using Skew Gabor Filter in Source Signal Separation and Local Spectral Multi-Orientation Analysis
Responses of Gabor wavelets in the mid-frequency space build a local spectral representation scheme with optimal properties regarding the time-frequency uncertainty principle. How...
Weichuan Yu, Gerald Sommer, Kostas Daniilidis
ICASSP
2011
IEEE
12 years 11 months ago
Gaussian mixture modeling for source localization
Exploiting prior knowledge, we use Bayesian estimation to localize a source heard by a fixed sensor network. The method has two main aspects: Firstly, the probability density fun...
John T. Flåm, Joakim Jalden, Saikat Chatterj...
ICA
2007
Springer
14 years 1 months ago
Modeling Perceptual Similarity of Audio Signals for Blind Source Separation Evaluation
Existing perceptual models of audio quality, such as PEAQ, were designed to measure audio codec performance and are not well suited to evaluation of audio source separation algorit...
Brendan Fox, Andrew T. Sabin, Bryan Pardo, Alec Zo...
ICIP
2008
IEEE
14 years 2 months ago
Incorporating known features into a total variation dictionary model for source separation
The goal of this paper is to investigate the impact of dictionary choosing for a total variation dictionary model. After theoretical analysis, we present the experiments in which ...
Tieyong Zeng