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dc.contributor.authorChiang, Chen-Yuen_US
dc.contributor.authorWang, Yih-Ruen_US
dc.contributor.authorChen, Sin-Horngen_US
dc.date.accessioned2014-12-08T15:29:05Z-
dc.date.available2014-12-08T15:29:05Z-
dc.date.issued2012en_US
dc.identifier.isbn978-1-4673-0046-9en_US
dc.identifier.urihttp://hdl.handle.net/11536/20985-
dc.description.abstractA novel statistical linguistic feature, called punctuation confidence, is proposed in this paper for assisting in prosodic break prediction in Mandarin text-to-speech. The punctuation confidence calculated from the input text is a measure of the likelihood of inserting a major PM at a word boundary. Since a punctuation in text tends to be pronounced as a break, the punctuation confidence associated with a punctuation estimate should provide useful information for break prediction from text. The idea is realized in this study by first employing a conditional random field (CRF)-based model to generate a predicted punctuation and its associated punctuation confidence for each word boundary. Then, the predicted punctuation and its punctuation confidence are combined with contextual linguistic features to predict the break type of the word boundary by an MLP (multi-layer perceptrons). Experiment on the Treebank speech corpus confirmed the effectiveness of the proposed approach.en_US
dc.language.isoen_USen_US
dc.subjectpunctuation confidenceen_US
dc.subjecttext-to-speechen_US
dc.subjectprosodic breaken_US
dc.subjectpunctuation generationen_US
dc.subjectconditional random fielden_US
dc.titlePUNCTUATION GENERATION INSPIRED LINGUISTIC FEATURES FOR MANDARIN PROSODIC BOUNDARY PREDICTIONen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)en_US
dc.citation.spage4597en_US
dc.citation.epage4600en_US
dc.contributor.department傳播研究所zh_TW
dc.contributor.departmentInstitute of Communication Studiesen_US
dc.identifier.wosnumberWOS:000312381404167-
Appears in Collections:Conferences Paper