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dc.contributor.authorRooth, Mats
dc.contributor.authorHowell, Jonathan
dc.contributor.authorWagner, Michael
dc.date.accessioned2013-10-29T19:55:01Z
dc.date.available2013-10-29T19:55:01Z
dc.date.issued2013-10-29
dc.identifier.citationFinal project white paper, Digging into Data Challengeen_US
dc.identifier.urihttps://hdl.handle.net/1813/34477
dc.description.abstractThis is a white paper for a project that harvested audio and transcribed data from podcasts and news broadcasts on the web. Tools were developed to analyze the different uses of prosody (rhythm, stress and intonation) within spoken communication using phonetic analysis and machine learning.en_US
dc.description.sponsorshipNSF 1035151 RAPID: Harvesting Speech Datasets for Linguistic Research on the Web (Digging into Data Challenge) and SSHRC Digging into Data Challenge Grant 869-2009-0004.en_US
dc.language.isoenen_US
dc.subjectprosodyen_US
dc.subjectintonationen_US
dc.subjectcomparativesen_US
dc.subjectmachine learningen_US
dc.subjectspoken languageen_US
dc.subjectweb scienceen_US
dc.titleHarvesting speech datasets for linguistic research on the weben_US
dc.typearticleen_US


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