This thesis is about eh...Finding the optimal combination of filled pauses to improve a keyword spotting automatic speech recogniser.

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dc.contributor.advisorScharenborg, O.E.
dc.contributor.advisorBosch, L.F.M. ten
dc.contributor.authorVerbart, B.
dc.date.issued2015-08-27
dc.description.abstractThis study aims to improve a keyword spotting (KWS) automatic speech recogniser (ASR) system by adding different combinations of filled pauses to its keyword list. The research questions the study revolves around are: “How do filled pauses manifest themselves in spontaneous spoken Dutch telephone conversations?” and “What is the optimal combination of categories of filled pauses in order to improve a LVCSR-based KWS ASR system?”. It appears that filled pauses manifest themselves in 17 different ways, and adding all 17 of those to the keyword list of the ASR system improves its performance the most. The found different types of filled pauses in Dutch were in line with findings of the English and German languages (Rose, 1998; Batliner et al. 1995). The present study provides a new approach to automatic detection of filled pauses based on treating filled pauses as keywords. This approach could be implemented in KWS! ASR syst ems.en_US
dc.embargo.lift10000-01-01
dc.identifier.urihttp://theses.ubn.ru.nl/handle/123456789/672
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Letterenen_US
dc.thesis.specialisationLinguistics, general programmeen_US
dc.thesis.studyprogrammeMaster Taalwetenschappen/Linguisticsen_US
dc.thesis.typeMasteren_US
dc.titleThis thesis is about eh...Finding the optimal combination of filled pauses to improve a keyword spotting automatic speech recogniser.en_US
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