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» An Improved Technique for Blind Audio Source Separation
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ICASSP
2010
IEEE
13 years 3 months ago
Modified hierarchical clustering for sparse component analysis
The under-determined blind source separation (BSS) problem is usually solved using the sparse component analysis (SCA) technique. In SCA, the BSS is usually solved in two steps, w...
Nasser Mourad, James P. Reilly
WCRE
2008
IEEE
14 years 2 months ago
Automated Concept Location Using Independent Component Analysis
Concept location techniques are designed to help isolate sections of source code that relate to specific concepts. Blind Signal Separation techniques like Singular Value Decompos...
Scott Grant, James R. Cordy, David B. Skillicorn
ICASSP
2008
IEEE
14 years 2 months ago
Bayesian extensions to non-negative matrix factorisation for audio signal modelling
We describe the underlying probabilistic generative signal model of non-negative matrix factorisation (NMF) and propose a realistic conjugate priors on the matrices to be estimate...
Tuomas Virtanen, Ali Taylan Cemgil, Simon J. Godsi...
CSL
2010
Springer
13 years 8 months ago
Speech separation using speaker-adapted eigenvoice speech models
We present a system for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a priori. The sources are mo...
Ron J. Weiss, Daniel P. W. Ellis
ICPR
2010
IEEE
13 years 8 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