2015
DOI: 10.9708/jksci.2015.20.2.149
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Korean Sentence Symbol Preprocess System for the Improvement of Speech Synthesis Quality

Abstract: In this paper, we propose a Korean sentence symbol preprocessor for a SSML (speech synthesis markup language) supported speech synthesis system in order to improve the quality of the synthesized result. After the analysis of Korean Wikipedia documents, we propose 8 categories for the meaning of sentence symbols and 11 regular expression for the classification of each category. After the development of a Korean sentence symbol preprocess system we archived 56% of precision and 71.45% of recall ratio for 63,000 … Show more

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Cited by 1 publication
(8 citation statements)
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“…The following conversational data set comes from a recording of a Midwestern American family's dinnertime conversations in their home 6 (from Lee, 2013). The recording was made discreetly (with the researcher out of view, and a camera and microphone placed inconspicuously near their dinner table).…”
Section: Discussionmentioning
confidence: 99%
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“…The following conversational data set comes from a recording of a Midwestern American family's dinnertime conversations in their home 6 (from Lee, 2013). The recording was made discreetly (with the researcher out of view, and a camera and microphone placed inconspicuously near their dinner table).…”
Section: Discussionmentioning
confidence: 99%
“…Some like Zubizarreta (1998) and Tajsner (2008) in the minimalist framework propose fairly complex and even unnatural derivations for stress placement, which lack empirical evidence for their proposals. A major shortcoming of derivational generative accounts, especially the more complex ones, is that they simply take the assigned focus as a given, and fail to consider or include context, speaker intentions, and communicative intent (Lee, 2013;Szwedek, 2017). 4 Due to the lack of empirical testing, they also miss important patterns and are thus unable to explain the primacy of sentence-final nouns in stress assignment (Szwedek, 2017).…”
Section: Generative Accountsmentioning
confidence: 99%
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