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» Sparse source separation from orthogonal mixtures
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ISNN
2007
Springer
14 years 1 months ago
Neural-Based Separating Method for Nonlinear Mixtures
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
Ying Tan
ICA
2004
Springer
14 years 24 days ago
Frequency Domain Blind Source Separation for Many Speech Signals
This paper presents a method for solving the permutation problem of frequency domain blind source separation (BSS) when the number of source signals is large, and the potential sou...
Ryo Mukai, Hiroshi Sawada, Shoko Araki, Shoji Maki...
ICMCS
2006
IEEE
98views Multimedia» more  ICMCS 2006»
14 years 1 months ago
On the Use of Time-Frequency Representation in Multicomponent Signal Separation
In this paper, we address the problem of separating unknown multicomponent signals from their instantaneous mixtures. Using linear time-frequency (TF) representation of the mixtur...
Braham Barkat, Farook Sattar, Karim Abed-Meraim
ICPR
2010
IEEE
13 years 7 months ago
Semi-blind Speech-Music Separation Using Sparsity and Continuity Priors
—In this paper we propose an approach for the problem of single channel source separation of speech and music signals. Our approach is based on representing each source’s power...
Hakan Erdogan, Emad M. Grais
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...