Abstract
This paper proposes a grapheme to phoneme conversion method for Korean Text-to-Speech system where the phonological phrasing information is incorporated. To verify the validity of the proposing method, a hybrid approach based grapheme to phoneme conversion system, which combines hand-written morphophonemic rules and maximum entropy models, is implemented. The experimental results show that the prediction accuracy of tensification on the eojeol (a space-delimited orthographic word) boundaries improve from 93.20% to 95.45%, which leads to better overall grapheme to phoneme conversion performance.
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Kim, B., Lee, J., Lee, G.G. (2011). Korean Grapheme to Phoneme Conversion Using Phonological Phrasing Information – Focused on Tensification. In: Kim, Th., Adeli, H., Robles, R.J., Balitanas, M. (eds) Advanced Computer Science and Information Technology. AST 2011. Communications in Computer and Information Science, vol 195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24267-0_26
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DOI: https://doi.org/10.1007/978-3-642-24267-0_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24266-3
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