Blind source separation of speech signals using filter banks

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dc.creatorPatterson, Andrew J.
dc.date.accessioned2016-11-14T23:09:25Z
dc.date.available2011-02-18T23:40:17Z
dc.date.available2016-11-14T23:09:25Z
dc.date.issued2002-08
dc.degree.departmentElectrical and Computer Engineeringen_US
dc.description.abstractThe aim of this thesis is to improve the perceived quality of digital hearing aids through the introduction of source segregation algorithms that attenuate undesired speech and noise into the psychoacoustic model of the human ear. It proposes the use of low-delay modulated filter banks to mimic the critical bands of the human ear to accomplish blind source separation. This thesis will cover theory and results for modulated filter banks and blind source separation.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2346/20369en_US
dc.language.isoeng
dc.publisherTexas Tech Universityen_US
dc.rights.availabilityUnrestricted.
dc.subjectDigitalen_US
dc.subjectSignal processing -- Digital techniquesen_US
dc.subjectElectric filtersen_US
dc.subjectHearing aidsen_US
dc.subjectNoise controlen_US
dc.titleBlind source separation of speech signals using filter banks
dc.typeThesis

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