A blind source separation of instantaneous acoustic mixtures using natural gradient method
A variety of applications concerning communication signal processing involves recovering unobserved signals or 'sources' from several observed mixtures, and 'cocktail party effect' is a good paradigm related to this process. Given a set of linearly superimposed acoustic signals w...
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oai:animorepository.dlsu.edu.ph:faculty_research-33422021-08-24T08:20:47Z A blind source separation of instantaneous acoustic mixtures using natural gradient method Sandiko, Christopher M. Magsino, Elmer R. A variety of applications concerning communication signal processing involves recovering unobserved signals or 'sources' from several observed mixtures, and 'cocktail party effect' is a good paradigm related to this process. Given a set of linearly superimposed acoustic signals without knowledge about the sources makes Blind Source Separation (BSS) a very suitable scheme. A more popular approach of BSS, Independent Component Analysis, has been exploited which basically senses the statistical independence of the source signal estimates to achieve separation. A set of interfering signals present in a typical acoustic environment has been instantaneously combined with a pre-determined mixing matrix. A great weight has been given on an excellent rendition of the Infomax technique of Independent Component Analysis (ICA), called the Natural Gradient Method, to employ a cost function that would yield an optimized de-mixing matrix, producing fairly estimated source signals. By varying the learning rate and the score function, a robust performance of the Natural Gradient has been exhibited, maximizing the separation quality, stability and convergence speed. © 2012 IEEE. 2012-01-01T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/2343 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3342/type/native/viewcontent Faculty Research Work Animo Repository Blind source separation Independent component analysis Auditory selective attention Electrical and Computer Engineering |
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Blind source separation Independent component analysis Auditory selective attention Electrical and Computer Engineering Sandiko, Christopher M. Magsino, Elmer R. A blind source separation of instantaneous acoustic mixtures using natural gradient method |
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A variety of applications concerning communication signal processing involves recovering unobserved signals or 'sources' from several observed mixtures, and 'cocktail party effect' is a good paradigm related to this process. Given a set of linearly superimposed acoustic signals without knowledge about the sources makes Blind Source Separation (BSS) a very suitable scheme. A more popular approach of BSS, Independent Component Analysis, has been exploited which basically senses the statistical independence of the source signal estimates to achieve separation. A set of interfering signals present in a typical acoustic environment has been instantaneously combined with a pre-determined mixing matrix. A great weight has been given on an excellent rendition of the Infomax technique of Independent Component Analysis (ICA), called the Natural Gradient Method, to employ a cost function that would yield an optimized de-mixing matrix, producing fairly estimated source signals. By varying the learning rate and the score function, a robust performance of the Natural Gradient has been exhibited, maximizing the separation quality, stability and convergence speed. © 2012 IEEE. |
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text |
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Sandiko, Christopher M. Magsino, Elmer R. |
author_facet |
Sandiko, Christopher M. Magsino, Elmer R. |
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Sandiko, Christopher M. |
title |
A blind source separation of instantaneous acoustic mixtures using natural gradient method |
title_short |
A blind source separation of instantaneous acoustic mixtures using natural gradient method |
title_full |
A blind source separation of instantaneous acoustic mixtures using natural gradient method |
title_fullStr |
A blind source separation of instantaneous acoustic mixtures using natural gradient method |
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A blind source separation of instantaneous acoustic mixtures using natural gradient method |
title_sort |
blind source separation of instantaneous acoustic mixtures using natural gradient method |
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Animo Repository |
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2012 |
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https://animorepository.dlsu.edu.ph/faculty_research/2343 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3342/type/native/viewcontent |
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