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Automatic alignment and error detection for phonetic transcriptions in the African speech technology project databases

dc.contributor.advisorDu Preez, J. A.
dc.contributor.authorDe Villiers, Edwarden_ZA
dc.contributor.otherUniversity of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering.
dc.date.accessioned2006-11-09T06:24:08Zen_ZA
dc.date.accessioned2010-06-01T08:45:48Z
dc.date.available2006-11-09T06:24:08Zen_ZA
dc.date.available2010-06-01T08:45:48Z
dc.date.issued2006-03en_ZA
dc.identifier.urihttp://hdl.handle.net/10019.1/2311
dc.descriptionThesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2006.
dc.description.abstractThe African Speech Technology (AST) project ran from 2000 to 2004 and involved collecting speech data for five South African languages, transcribing the data and building automatic speech recognition systems in these languages. The work described here form part of this project and involved implementing methods for automatic boundary placement in manually labelled files and for determining errors made by transcribers during the labelling process.en_ZA
dc.format.extent1399476 bytesen_ZA
dc.format.mimetypeapplication/pdfen_ZA
dc.publisherStellenbosch : University of Stellenbosch
dc.subjectAutomatic speech recognitionen_ZA
dc.subjectSpeech processing systemsen_ZA
dc.subjectDissertations -- Electronic engineeringen_ZA
dc.subjectTheses -- Electronic engineeringen_ZA
dc.subject.otherElectrical and Electronic Engineeringen_ZA
dc.titleAutomatic alignment and error detection for phonetic transcriptions in the African speech technology project databasesen_ZA
dc.typeThesisen_ZA
dc.rights.holderUniversity of Stellenbosch


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