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dc.contributor.advisorVictor W. Zue.en_US
dc.contributor.authorMeng, Helen Men_US
dc.date.accessioned2005-09-21T21:00:07Z
dc.date.available2005-09-21T21:00:07Z
dc.date.copyright1991en_US
dc.date.issued1991en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/13279
dc.descriptionThesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1991.en_US
dc.description.statementofresponsibilityby Helen Mei-Ling Meng.en_US
dc.format.extent88 leavesen_US
dc.format.extent6437107 bytes
dc.format.extent6436866 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
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/1721.1/7582
dc.subjectElectrical Engineering and Computer Scienceen_US
dc.titleThe use of distinctive features for automatic speech recognitionen_US
dc.typeThesisen_US
dc.description.degreeM.S.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc25053568en_US


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