• Language and Information
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• v.7 no.2
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• pp.81-101
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• 2003

This paper introduces a computerized version of the Korean Standard Pronunciation Rules that can be used in speech engineering systems such as Korean speech synthesis and recognition systems. For this purpose, we build Petri net models for each item of the Standard Pronunciation Rules, and then integrate them into the sound conversion table. The reversion of the Korean Standard Pronunciation Rules regulates the way of matching sounds into grammatically correct written characters. This paper presents not only the sound conversion table but also the character conversion table obtained by reversely converting the sound conversion table. Malting use of these tables, we have implemented a Korean character into a sound system and a Korean sound into the character conversion system, and tested them with various data sets reflecting all the items of the Standard Pronunciation Rules to verify the soundness and completeness of our tables. The test results show that the tables improve the process speed in addition to the soundness and completeness.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.268-278
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• 2018

The purpose of this study is to compare and analyze phonetic items such as the phonemic system, phonological rules, and pronunciation descriptions and notations incorporated in the textbooks. Based on our analysis results, we point out the problems related to pronunciation education, and suggest directions for improvement. First, the presentation order of consonants and vowels in the phonological systems sections of each textbook was different. We recommend that a standard for consonant and vowel presentation order should be prepared, but that this standard should take into consideration the specific purpose of the textbook; the learning strategies and goals, as well as the possibility of teaching and learning. Second, similar to phonemic systems, the presentation order of phonological rules was different for each textbook. To create a standard order for phonological rules, we have to standardize the order of presentation of rules and determine which rules should be presented. Furthermore, when describing phonological rules, the content should be described in common and essential terms as much as possible without the use of jargon. Third, in other matters of pronunciation, there were problems such as examples for pronunciation and lack of exercises. Regarding this, we propose to provide sentences or dialogues as examples for pronunciation, and to link these to various activities and other language functions for pronunciation practice.

• Proceedings of the KSPS conference
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• 2002.11a
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• pp.81-85
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• 2002

We present a statistical analysis of Korean phonological variations using automatic generation of phonetic transcription. We have constructed the automatic generation system of Korean pronunciation variants by applying rules modeling obligatory and optional phonemic changes and allophonic changes. These rules are derived from knowledge-based morphophonological analysis and government standard pronunciation rules. This system is optimized for continuous speech recognition by generating phonetic transcriptions for training and constructing a pronunciation dictionary for recognition. In this paper, we describe Korean phonological variations by analyzing the statistics of phonemic change rule applications for the 60,000 sentences in the Samsung PBS(Phonetic Balanced Sentence) Speech DB. Our results show that the most frequently happening obligatory phonemic variations are in the order of liaison, tensification, aspirationalization, and nasalization of obstruent, and that the most frequently happening optional phonemic variations are in the order of initial consonant h-deletion, insertion of final consonant with the same place of articulation as the next consonants, and deletion of final consonant with the same place of articulation as the next consonants. These statistics can be used for improving the performance of speech recognition systems.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.321-324
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• 2002

For a rule-based conversion of Hangout into the Roman alphabet rather than a word-for-word conversion, one must come up with a faultless model for the Korean standard pronunciation rules, which are the basis of the Romanization. It is on this foundation that the Korean-Roman alphabet conversion table can be created. For linguistic modeling using PetriNet, modeling boundary and notation of modeling can be defined. In order to describe PetriNet, which is a dynamic modeling tool, as a static one, one can model the standard Korean pronunciation rules and the Hangout-Roman alphabet notation by conversion into incident matrix Thus, this research attempts to develop a mathematical modeling tool for a natural language using PetriNet, and create a Korean-Roman alphabet conversion table.

• The Journal of the Acoustical Society of Korea
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• v.21 no.7
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• pp.656-664
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• 2002

We present a statistical analysis of Korean phonological variations using a Grapheme-to-Phoneme (GPT) system. The GTP system used for experiments generates pronunciation variants by applying rules modeling obligatory and optional phonemic changes and allophonic changes. These rules are derived form morphophonological analysis and government standard pronunciation rules. The GTP system is optimized for continuous speech recognition by generating phonetic transcriptions for training and constructing a pronunciation dictionary for recognition. In this paper, we describe Korean phonological variations by analyzing the statistics of phonemic change rule applications for the 60,000 sentences in the Samsung PBS Speech DB. Our results show that the most frequently happening obligatory phonemic variations are in the order of liaison, tensification, aspirationalization, and nasalization of obstruent, and that the most frequently happening optional phonemic variations are in the order of initial consonant h-deletion, insertion of final consonant with the same place of articulation as the next consonants, and deletion of final consonant with the same place of articulation as the next consonant's, These statistics can be used for improving the performance of speech recognition systems.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.3
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• pp.197-205
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• 2020

Korean language has the characteristics that the pronunciation of phoneme units such as vowels and consonants are fixed and the pronunciation associated with a notation does not change, so that foreign learners can approach rather easily Korean language. However, when one pronounces words, phrases, or sentences, the pronunciation changes in a manner of a wide variation and complexity at the boundaries of syllables, and the association of notation and pronunciation does not hold any more. Consequently, it is very difficult for foreign learners to study Korean standard pronunciations. Despite these difficulties, it is believed that systematic analysis of pronunciation errors for Korean words is possible according to the advantageous observations that the relationship between Korean notations and pronunciations can be described as a set of firm rules without exceptions unlike other languages including English. In this paper, we propose a visualization framework which shows the differences between standard pronunciations and erratic ones as quantitative measures on the computer screen. Previous researches only show color representation and 3D graphics of speech properties, or an animated view of changing shapes of lips and mouth cavity. Moreover, the features used in the analysis are only point data such as the average of a speech range. In this study, we propose a method which can directly use the time-series data instead of using summary or distorted data. This was realized by using the deep learning-based technique which combines Self-organizing map, variational autoencoder model, and Markov model, and we achieved a superior performance enhancement compared to the method using the point-based data.

• 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.