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dc.contributor.advisorCharlotte M. Reed and Louis D. Braida.en_US
dc.contributor.authorD'Aquila, Laura Aen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2016-12-22T15:19:02Z
dc.date.available2016-12-22T15:19:02Z
dc.date.copyright2016en_US
dc.date.issued2016en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/106025
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 41-42).en_US
dc.description.abstractThe masking release (MR; i.e., better speech recognition in fluctuating compared to continuous noise backgrounds) that is evident for normal-hearing (NH) listeners is generally reduced or absent in hearing-impaired (HI) listeners. In this study, a signal-processing technique was developed to improve MR in HI listeners and offer insight into the mechanisms influencing the size of MR. This technique compares short-term and long-term estimates of energy, increases the level of short-term segments whose energy is below the average energy, and normalizes the overall energy of the processed signal to be equivalent to that of the original long-term estimate. In consonant-identification tests, HI listeners achieved similar scores for processed and unprocessed stimuli in quiet and in continuous-noise backgrounds, while superior performance was obtained for the processed speech in some of the fluctuating background noises. Thus, the energy-normalized signals led to larger values of MR compared to that obtained with unprocessed signals.en_US
dc.description.statementofresponsibilityby Laura A. D'Aquila.en_US
dc.format.extent98 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleImproving speech intelligibility in fluctuating background interferenceen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc965830699en_US


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