Simulating the Pronunciation of a Second Language in WaveNet

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dc.contributor.advisorKachergis, G.E.
dc.contributor.advisorKrutwig, J.
dc.contributor.authorDeelen, B.W.T. van
dc.date.issued2017-07-19
dc.description.abstractIn 2016 WaveNet, a generative raw audio DNN model was introduced and showed unprecedented results in the area of speech synthesis. In this study the learning of the pronunciation of a second language is simulated. Using two conditions, bilingual from the onset of training, and monolingual from onset followed by bilingualism later on in training, a human being acquiring a second language in two different situations is simulated. Using formant analysis on the output of the network, data was acquired, and compared to average formants of both English and Dutch males and females. Against our expectations, the model generated output closer to the Dutch average, when it was trained on both languages from onset.en_US
dc.embargo.lift2075-12-31
dc.identifier.urihttp://theses.ubn.ru.nl/handle/123456789/5239
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationBachelor Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeBacheloren_US
dc.titleSimulating the Pronunciation of a Second Language in WaveNeten_US
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