PhD Thesishome
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In my PhD
thesis, I developed probabilistic syllable models for German and
English. These models provide information on how certain phonological
structures are. Beyond this information, the models can be used for
syllabification and grapheme-to-phoneme conversion in a speech
synthesis system. My PhD thesis was supervised by Professor Dr. Grzegorz Dogil and PD Dr. Bernd Möbius.
German introduction(.ps), (.pdf) Chapter 1 (.ps), (.pdf) - introduction Chapter 2 (.ps), (.pdf) - probablistic context-free grammars for syllabification and grapheme-to-phoneme conversion Chapter 3 (.ps), (.pdf) - inducing probabilistic syllable classes using multivariate clustering Chapter 4 (.ps), (.pdf) - automatic detection of syllable boundaries combining treebank training and bracketed corpora training Chapter 5 (.ps), (.pdf) - probabilistic context-free grammars for phonology Conclusion (.ps), (.pdf) References (.ps), (.pdf) Appendix A (.ps), (.pdf) - German 5-dimensional syllable clustering model (50 classes) Appendix B (.ps), (.pdf) - English 5-dimensional syllable clustering model (50 classes) Appendix C (.ps), (.pdf) - Positional syllable structure grammar (trained model = PCFG, inc. frequency and probability of each rule) |