From classroom to cathedral: A training strategy to optimize RNN performance in different Reverberant conditions.
dc.contributor.advisor | Heijden, van der, Kiki | |
dc.contributor.author | Vedder, Chantal | |
dc.date.issued | 2022-02-10 | |
dc.identifier.uri | https://theses.ubn.ru.nl/handle/123456789/16003 | |
dc.language.iso | en | |
dc.thesis.faculty | Faculteit der Sociale Wetenschappen | |
dc.thesis.specialisation | specialisations::Faculteit der Sociale Wetenschappen::Artificial Intelligence::Bachelor Artificial Intelligence | |
dc.thesis.studyprogramme | studyprogrammes::Faculteit der Sociale Wetenschappen::Artificial Intelligence | |
dc.thesis.type | Bachelor | |
dc.title | From classroom to cathedral: A training strategy to optimize RNN performance in different Reverberant conditions. |
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