| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Bloothooft, G. | |
| dc.contributor.author | Trompper, M.F.A. | |
| dc.date.accessioned | 2014-10-22T17:00:42Z | |
| dc.date.available | 2014-10-22T17:00:42Z | |
| dc.date.issued | 2014 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/18663 | |
| dc.description.abstract | Text-to-phoneme (T2P) mapping is a necessary step in any speech synthesis system. For some languages,
like English, it can be hard to derive a good set of rules to cover all letter-phoneme correspondences. This
paper presents an open-source GUI for training artificial neural networks that is tested on the problem of
text-to-phoneme mapping. The results are just below 80% accuracy with a standard feed forward neural
network. | |
| dc.description.sponsorship | Utrecht University | |
| dc.format.extent | 747392 | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.title | A Neural Network GUI Tested on Text-To-Phoneme Mapping | |
| dc.type.content | Bachelor Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | neural networks;gui;t2p;text to phoneme;text to speech | |
| dc.subject.courseuu | Kunstmatige Intelligentie | |
