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Blind Detection of CLT Disobeying Frequency Bind for Audio Source Separation by Fixed-Point ICA

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dc.contributor.author Raj Kishore Prasad en
dc.contributor.author Hiroshi Saruwatari en
dc.contributor.author Kiyohiro Shikano en
dc.date.accessioned 2012-08-22T07:58:46Z en
dc.date.available 2012-08-22T07:58:46Z en
dc.date.issued 2004-04 en
dc.identifier.uri http://hdl.handle.net/10061/8019 en
dc.description ICA2004: 18th International Congress on Acoustics, April 4-9, 2004, Kyoto, Japan. en
dc.description.abstract This paper peeps into the problem of disobeyance of Central Limit Theorem (CLT) by the Time-Frequency Series of the Speech (TFSS) data. For the blind separation algorithms, based on the non-gaussianization of mixed signal e.g. signal separation by negentropy or kurtosis maximization, such behavior by TFSS is problematic in the sense that it is against the working spirit of algorithm. The detection of such CLT failure bin is important. This paper describes (explores) such failure in depth and prescribes a blind method, based on the statistics TFSS that can detect 70-75% of the CLT disobeying frequency bins. The proposed method is blind in the sense that it relies only on the statistics of observed data. en
dc.language.iso en en
dc.title Blind Detection of CLT Disobeying Frequency Bind for Audio Source Separation by Fixed-Point ICA en
dc.type.nii Conference Paper en
dc.textversion Publisher en
dc.identifier.spage IV3151 en
dc.identifier.epage IV3154 en


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