Using the HTK Hidden Markov Model Toolkit Speech Recogniser to Analyse Prosody in a Corpus of German Spoken Learners’ English

Abstract

The candidate confirms that the work submitted is his own and that appropriate credit has been given where reference has been made to the work of others. i Acknowledgments First and foremost, I would like thank my supervisor, Eric Atwell, for his generous and enthusiastic guidance. His insightful and constructive advice helped me focus and gave me an… (More)

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Cite this paper

@inproceedings{Oba2003UsingTH, title={Using the HTK Hidden Markov Model Toolkit Speech Recogniser to Analyse Prosody in a Corpus of German Spoken Learners’ English}, author={Toshifumi Oba}, year={2003} }