Title:
Improving the quality of speech in noisy environments
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 | |
relation.isAdvisorOfPublication | eefeec08-2c7a-4e05-9f4b-7d25059e20a0 | |
relation.isAuthorOfPublication | 2b8bc15b-448f-472b-8992-ca9862368cad | |
relation.isOrgUnitOfPublication | 5b7adef2-447c-4270-b9fc-846bd76f80f2 | |
relation.isOrgUnitOfPublication | 7c022d60-21d5-497c-b552-95e489a06569 |
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