Title:
Improving the quality of speech in noisy environments

dc.contributor.advisor Anderson, David V.
dc.contributor.author Parikh, Devi en_US
dc.contributor.committeeMember Bhatti, Pamela T.
dc.contributor.committeeMember Clements, Mark A.
dc.contributor.committeeMember McClellan, James H.
dc.contributor.committeeMember Vidakovic, Branislav
dc.contributor.department Electrical and Computer Engineering en_US
dc.date.accessioned 2013-01-17T21:53:42Z
dc.date.available 2013-01-17T21:53:42Z
dc.date.issued 2012-11-06 en_US
dc.description.abstract In 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.description.degree PhD en_US
dc.identifier.uri http://hdl.handle.net/1853/45889
dc.publisher Georgia Institute of Technology en_US
dc.subject Blind source separation en_US
dc.subject Perceptual processing en_US
dc.subject Noise suppression en_US
dc.subject Speech processing en_US
dc.subject.lcsh Ambient sounds
dc.subject.lcsh Speech processing systems
dc.subject.lcsh Speech
dc.subject.lcsh Noise control
dc.subject.lcsh Acoustical engineering
dc.title Improving the quality of speech in noisy environments en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Anderson, David V.
local.contributor.author Parikh, Devi
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
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