• The KIPS Transactions:PartB
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• v.11B no.1
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• pp.99-106
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• 2004

The syllable restoration is a process restoring a phonetic value recognized in a speech recognition device with the notation form that a vocalization is former. In this paper a syllable restoration rule was composed of a based on standard pronunciation for a syllable restoration process. A syllable restoring regulation was used, and a generation method of a notation candidate set was researched. Also, A study is held to reduce the number of created notation candidate. Three phases of reduction processes were suggested. Reduction of a notation candidate has the non-notation syllable, non-vocabulary syllable and non-stem syllable. As a result of experiment, an average of 74％ notation candidate decrease rates were shown.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.5
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• pp.44-57
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• 2001

In order to synthesize grammatically correct Korean voices, we have to refer to the 'Standard Pronunciation Rules(SPR)' stated in the 'Standard Grammar of Korean Language.' Therefore, the rules that is used for a Korean-voice-synthesis system to find Korean voices corresponding to a given Korean sentence must completely reflect the SPR and must be sound. However, in the field of computer science they have just used the SPR without proving the completeness and soundness of their rules. In this paper, we construct a Petri net model for each rule of SPR, integrate all the Petri net models to build one big Petri net completely representing SPR, and analyse the Petri net to prove the consistency of it. Then, we transfer the Petri net model into a look-up table for Korean voice. Using this table, we can avoid the drawbacks of existing approaches such as going through several stages or repetitively applying a converting process.