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- Source_separation abstract "Source separation problems in digital signal processing are those in which several signals have been mixed together into a combined signal and the objective is to recover the original component signals from the combined signal. The classical example of a source separation problem is the cocktail party problem, where a number of people are talking simultaneously in a room (for example, at a cocktail party), and a listener is trying to follow one of the discussions. The human brain can handle this sort of auditory source separation problem, but it is a difficult problem in digital signal processing. This was first analyzed by Colin Cherry.Several approaches have been proposed for the solution of this problem but development is currently still very much in progress. Some of the more successful approaches are principal components analysis and independent components analysis, which work well when there are no delays or echoes present; that is, the problem is simplified a great deal. The field of computational auditory scene analysis attempts to achieve auditory source separation using an approach that is based on human hearing.The human brain must also solve this problem in real time. In human perception this ability is commonly referred to as auditory scene analysis or the cocktail party effect.".
- Source_separation wikiPageExternalLink ica.
- Source_separation wikiPageExternalLink diss.
- Source_separation wikiPageID "28804".
- Source_separation wikiPageLength "2759".
- Source_separation wikiPageOutDegree "22".
- Source_separation wikiPageRevisionID "626268317".
- Source_separation wikiPageWikiLink Auditory_scene_analysis.
- Source_separation wikiPageWikiLink Blind_signal_separation.
- Source_separation wikiPageWikiLink Category:Digital_signal_processing.
- Source_separation wikiPageWikiLink Category:Speech_processing.
- Source_separation wikiPageWikiLink Cocktail_party.
- Source_separation wikiPageWikiLink Cocktail_party_effect.
- Source_separation wikiPageWikiLink Colin_Cherry.
- Source_separation wikiPageWikiLink Computational_auditory_scene_analysis.
- Source_separation wikiPageWikiLink Digital_signal_processing.
- Source_separation wikiPageWikiLink Electromagnetic_field.
- Source_separation wikiPageWikiLink Factorial_code.
- Source_separation wikiPageWikiLink Image_segmentation.
- Source_separation wikiPageWikiLink Independent_component_analysis.
- Source_separation wikiPageWikiLink Magnetic_field.
- Source_separation wikiPageWikiLink Magnetoencephalography.
- Source_separation wikiPageWikiLink Medical_imaging.
- Source_separation wikiPageWikiLink Music.
- Source_separation wikiPageWikiLink Principal_component_analysis.
- Source_separation wikiPageWikiLink Signal_(electrical_engineering).
- Source_separation wikiPageWikiLink Sonic_artifact.
- Source_separation wikiPageWikiLink Speech_segmentation.
- Source_separation wikiPageWikiLinkText "Source separation".
- Source_separation wikiPageWikiLinkText "cocktail party problem".
- Source_separation wikiPageWikiLinkText "source separation".
- Source_separation wikiPageUsesTemplate Template:Unreferenced.
- Source_separation subject Category:Digital_signal_processing.
- Source_separation subject Category:Speech_processing.
- Source_separation type Algorithm.
- Source_separation comment "Source separation problems in digital signal processing are those in which several signals have been mixed together into a combined signal and the objective is to recover the original component signals from the combined signal. The classical example of a source separation problem is the cocktail party problem, where a number of people are talking simultaneously in a room (for example, at a cocktail party), and a listener is trying to follow one of the discussions.".
- Source_separation label "Source separation".
- Source_separation sameAs Q17105967.
- Source_separation sameAs m.0746v.
- Source_separation sameAs Q17105967.
- Source_separation wasDerivedFrom Source_separation?oldid=626268317.
- Source_separation isPrimaryTopicOf Source_separation.