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A data driven method for target and concatenation cost calculation with KL-Divergence in Mandarin hybrid speech synthesis

contributor authorShanfeng Liu
contributor authorZhengqi Wen
contributor authorJianhua Tao
contributor authorYa Li
contributor authorYongguo Kang
date accessioned2020-03-12T22:34:18Z
date available2020-03-12T22:34:18Z
date issued2014
identifier other7015069.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1087409?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleA data driven method for target and concatenation cost calculation with KL-Divergence in Mandarin hybrid speech synthesis
typeConference Paper
contenttypeMetadata Only
identifier padid8225242
subject keywordsfault diagnosis
subject keywordsn feature extraction
subject keywordsn identification
subject keywordsn large-scale systems
subject keywordsn fault identification
subject keywordsn large-scale system
subject keywordsn robust fault-base
subject keywordsn signal trends
subject keywordsn similarity measure method
subject keywordsn trend analysis
subject keywordsn trend extraction method
subject keywordsn trend modeling method
subject keywordsn trends matching
subject keywordsn Decision support systems
subject keywordsn fault identification
subject keywordsn faults-base
subject keywordsn large-scale system
subject keywordsn trend analysis
identifier doi10.1109/ChiCC.2014.6895485
journal titleignal Processing (ICSP), 2014 12th International Conference on
filesize801758
citations0


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