dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Bloothooft, G | |
dc.contributor.author | Baas, J.J. | |
dc.date.accessioned | 2010-11-04T18:00:44Z | |
dc.date.available | 2010-11-04 | |
dc.date.available | 2010-11-04T18:00:44Z | |
dc.date.issued | 2010 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/6164 | |
dc.description.abstract | The Autonomata and Autonomata TOO research programs have produced large annotated speech corpora mainly targeted for Personal Navigation De- vices. In this paper these corpora are analyzed. Systematic relationships between subjects’ mother language and the deviation of the realized pronun- ciations to the standard pronunciation are identified, and the effects this has on the accuracy of the Automated Speech Recognition system that was part of the Autonomata projects. | |
dc.description.sponsorship | Utrecht University | |
dc.format.extent | 631250 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.title | Natives’ and non-natives’ pronunciation of Dutch, and it’s influence on automated speech recognition | |
dc.type.content | Bachelor Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | speech recognition, phonetics, linguistics, vowels, mother language | |
dc.subject.courseuu | Kunstmatige Intelligentie | |