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- W2363204920 abstract "To optimize the cost function for unit selection in the corpus-based TTS system,a certain number of sentences should be preselected and synthesised.These sentences'mean opinion scores(MOS)can be got so as to maximize the corrrelation between the concatenative cost and the MOS.This paper proposes the concepts of sum of normalized contextual errors(SNCE)and corpus-similarity(CS)based on the TH-Coss corpus of women provided by Tsinghua University.It gets the preselected-sentences and uses the rest of the sentences to replace the TH-Coss corpus using the guideline of minimizing SNCE.Experimental results show that the CS between the preselected-sentences and the TH-Coss corpus rises greatly.And it is valid to replace the TH-Coss corpus with the rest of the sentences for the CS between them reaches 0.995 5." @default.
- W2363204920 created "2016-06-24" @default.
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- W2363204920 date "2007-01-01" @default.
- W2363204920 modified "2023-09-27" @default.
- W2363204920 title "Sentence Selection Based on Corpus-Similarity" @default.
- W2363204920 hasPublicationYear "2007" @default.
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