2026-09-18T18:39:04Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/422462022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131022
Louis D. Braida.
Messing, David P. (David Patrick), 1979-
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2008-09-03T15:04:02Z
2008-09-03T15:04:02Z
2007
2007
http://hdl.handle.net/1721.1/42246
231630814
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (leaves 202-207).
Current predictors of speech intelligibility are inadequate for making predictions of speech confusions caused by acoustic interference. This thesis is inspired by the need for a capability to understand and predict speech confusions caused by acoustic interference. The goal of this thesis is to develop models of auditory speech processing capable of predicting phonetic confusions by normally-hearing listeners, under a variety of acoustic distortions. In particular, we focus on modeling the Medial Olivocochlear efferent pathway (which provides feedback from the brain stem to the peripheral auditory system) and demonstrate its potential for speech identification in noise. Our results produced representations and performance that were robust to varying levels of additive noise and which mimicked human performance as measured by the Chi-squared test.
by David P. Messing.
Ph.D.
207 leaves
eng
Massachusetts Institute of Technology
M.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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Predicting confusions and intelligibility of noisy speech
Thesis
application/pdf
false
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="adcbe7b0-3511-4280-9fcb-2574b5317ad0">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Language>eng</Language>
<Title>Predicting confusions and intelligibility of noisy speech</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2007</PublicationDate>
<Authors>
<Author>
<DisplayName>Messing, David P. (David Patrick), 1979-</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>http://dspace.mit.edu/handle/1721.1/7582</License>
<Keyword>Electrical Engineering and Computer Science.</Keyword>
<Abstract>Current predictors of speech intelligibility are inadequate for making predictions of speech confusions caused by acoustic interference. This thesis is inspired by the need for a capability to understand and predict speech confusions caused by acoustic interference. The goal of this thesis is to develop models of auditory speech processing capable of predicting phonetic confusions by normally-hearing listeners, under a variety of acoustic distortions. In particular, we focus on modeling the Medial Olivocochlear efferent pathway (which provides feedback from the brain stem to the peripheral auditory system) and demonstrate its potential for speech identification in noise. Our results produced representations and performance that were robust to varying levels of additive noise and which mimicked human performance as measured by the Chi-squared test.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>