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dc.contributor.authorParikh, Devangi Nikunjen_US
dc.date.accessioned2013-01-17T21:53:42Z
dc.date.available2013-01-17T21:53:42Z
dc.date.issued2012-11-06en_US
dc.identifier.urihttp://hdl.handle.net/1853/45889
dc.description.abstractIn this thesis, we are interested in processing noisy speech signals that are meant to be heard by humans, and hence we approach the noise-suppression problem from a perceptual perspective. We develop a noise-suppression paradigm that is based on a model of the human auditory system, where we process signals in a way that is natural to the human ear. Under this paradigm, we transform an audio signal in to a perceptual domain, and processes the signal in this perceptual domain. This approach allows us to reduce the background noise and the audible artifacts that are seen in traditional noise-suppression algorithms, while preserving the quality of the processed speech. We develop a single- and dual-microphone algorithm based on this perceptual paradigm, and conduct subjecting tests to show that this approach outperforms traditional noise-suppression techniques. Moreover, we investigate the cause of audible artifacts that are generated as a result of suppressing the noise in noisy signals, and introduce constraints on the noise-suppression gain such that these artifacts are reduced.en_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectBlind source separationen_US
dc.subjectPerceptual processingen_US
dc.subjectNoise suppressionen_US
dc.subjectSpeech processingen_US
dc.subject.lcshAmbient sounds
dc.subject.lcshSpeech processing systems
dc.subject.lcshSpeech
dc.subject.lcshNoise control
dc.subject.lcshAcoustical engineering
dc.titleImproving the quality of speech in noisy environmentsen_US
dc.typeDissertationen_US
dc.description.degreePhDen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.description.advisorCommittee Chair: Anderson, David V.; Committee Member: Bhatti, Pamela T.; Committee Member: Clements, Mark A.; Committee Member: McClellan, James H.; Committee Member: Vidakovic, Branislaven_US


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