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» A new method for kurtosis maximization and source separation
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ICASSP
2010
IEEE
13 years 5 months ago
A new method for kurtosis maximization and source separation
This paper introduces a new method to maximize kurtosisbased contrast functions. Such contrast functions appear in the problem of blind source separation of convolutively mixed so...
Marc Castella, Eric Moreau
ICMCS
2000
IEEE
112views Multimedia» more  ICMCS 2000»
13 years 9 months ago
Short-Time Kurtosis of Speech Signals with Application to Co-channel Speech Separation
Recent work into the separation of mixtures of speech signals has shown some success. One particular method is based on the assumption that scalar mixtures of speech signals have ...
Phillip L. De Leon
ISNN
2005
Springer
13 years 11 months ago
One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization
Recently, a mathematical proof is obtained in (Liu, Chiu, Xu, 2004) on the so called one-bit-matching conjecture that all the sources can be separated as long as there is an one-to...
Lei Xu
ICASSP
2011
IEEE
12 years 9 months ago
Integrating binaural cues and blind source separation method for separating reverberant speech mixtures
This paper presents a new method for reverberant speech separation, based on the combination of binaural cues and blind source separation (BSS) for the automatic classification o...
Atiyeh Alinaghi, Wenwu Wang, Philip J. B. Jackson
PAMI
2010
168views more  PAMI 2010»
13 years 3 months ago
Nonnegative Least-Correlated Component Analysis for Separation of Dependent Sources by Volume Maximization
—Although significant efforts have been made in developing nonnegative blind source separation techniques, accurate separation of positive yet dependent sources remains a challen...
Fa-Yu Wang, Chong-Yung Chi, Tsung-Han Chan, Yue Wa...