• The Journal of the Acoustical Society of Korea
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• v.21 no.5
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• pp.471-477
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• 2002

Recently, lip-reading has been studied actively as an auxiliary method of automatic speech recognition(ASR) in noisy environments. However, almost of research results were obtained based on the database constructed in indoor condition. So, we dont know how developed lip-reading algorithms are robust to dynamic variation of image. Currently we have developed a lip-reading system based on image-transform based algorithm. This system recognize 22 words and this word recognizer achieves word recognition of up to 53.54%. In this paper we present how stable the lip-reading system is in environmental variance and what the main variant factors are about dropping off in word-recognition performance. For studying lip-reading robustness we consider spatial valiance (translation, rotation, scaling) and illumination variance. Two kinds of test data are used. One Is the simulated lip image database and the other is real dynamic database captured in car environment. As a result of our experiment, we show that the spatial variance is one of degradations factors of lip reading performance. But the most important factor of degradation is not the spatial variance. The illumination variances make severe reduction of recognition rates as much as 70%. In conclusion, robust lip reading algorithms against illumination variances should be developed for using lip reading as a complementary method of ASR.

• Cross-Cultural Studies
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• v.25
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• pp.627-648
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• 2011

The study analyzed a diachronic distribution, social meanings and social evaluations of ROOJIN. 'Headline Database of Newspaper Articles' and 'Balanced Corpus of Contemporary Written Japanese' by KOKKEN were used as research data. There were 305 newspaper articles (About 0.2%) which contained the word ROOJIN at 'Headline Database of Newspaper Articles'. The number of newspaper articles related to ROOJIN started to increase in a rapid rate in 1972 and 1973. They were also increased in 1976, from 1981 to 1987, 1992 and 1993. The reasons of increasing of newspaper articles related to ROOJIN on those 4 periods of time could be summarized as follows. Firstly, there was a increasement of ROOJIN who are lonely, are not able to move about freely or live alone. Secondly, the understanding of a symptom of aging called BOKE was necessary. Thirdly, there were negative evaluations in a society towards ROOJIN. There were 453 cases which contained the word ROOJIN at 'Balanced Corpus of Contemporary Written Japanese' on the data since 2000. The most frequently used words were ones that are related to senior care facilities. There were 109 cases (24%) which contain those words. '~SISETSU', '~SENTA-', '~HO-MU' were presented as words related to senior care facilities. Among them, 78 cases contained the word '~HO-MU' which was similar to a home with family members. The second most frequently used words were ones that are related to 'welfare for the aged' and they are led by 'medical care for the aged'. They occupied about 8%. Institutionalization of medical care for the aged, medical expenses, nursing were presented as words related to 'medical care for the aged'. Words that were related to 'welfare for the aged' led by 'senior care facilities' and 'medical care for the aged' occupied about 32% of research data. As mentioned above, problems of the aged in Modern Japan such as negative evaluations in a society towards ROOJIN, ROOJIN who are lonely, are not able to move about freely or live alone, BOKE could be identified by analyzing the data. Also, The frequent usage of words such as 'Home for the aged', 'medical care for the aged' and 'nursing' could be identified. The outcome of analysis suggested that a family traditionally had a function of solving problems of the aged but that function was reduced in modern Japan. It also suggested that there was a tendency to outsource problems of the aged as much as possible.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.609-614
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• 2008

본 연구는 정보를 자원으로 지식사회에 있어 사용자들이 필요로 하는 지식 데이터베이스 모델링 기법에 대한 설계 및 구축에 대한 연구를 실시 하였다. 기존의 Key-word검색을 통한 나열식 정보 서비스 관점에서 벗어나, 디지털 정보들의 속성을 분해, 연계, 창출하는 3단계 Framework을 통해 지식 데이터베이스를 구축하는 과정과 활용에 대한 Case Study를 통해 지식 데이터베이스를 활용방안을 제시하고 있다. 지식 데이터베이스를 통해 기존의 데이터베이스모델링 패러다임에서 벗어나 사용자에게는 지식탐험의 즐거움과 서비스 및 지식제공자 들에게는 새로운 수익창출의 기회를 제시해 주고 있다.

• Proceedings of the KSPS conference
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• 2003.10a
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• pp.29-32
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• 2003

This paper proposes an automatic pronunciation correction system which provides users with correction guidelines for each pronunciation error. For this purpose, we develop an HMM speech recognizer which automatically classifies pronunciation errors when Korean speaks foreign language. And, we collect speech database of native and nonnative speakers using phonetically balanced word lists. We perform analysis of mispronunciation types from the experiment of automatic mispronunciation detection using speech recognizer.

• Proceedings of the IEEK Conference
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• 1999.11a
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• pp.663-667
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• 1999

In this paper, we review the conventional speaker verification algorithm and present the text-dependent speaker verification system for application over telephone lines and its result of experiments. We apply blind-segmentation algorithm which segments speech into sub-word unit without linguistic information to the speaker verification system for training speaker model effectively with limited enrollment data. And the World-mode] that is created from PBW DB for score normalization is used. The experiments are presented in implemented system using database, which were constructed to simulate field test, and are shown 3.3% EER.

• Proceedings of the KIEE Conference
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• 2007.04a
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• pp.216-218
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• 2007

Korean Sign Language (KSL) is a communication method for the Deaf in Korea, and hand shape is one of important elements in sign language. In this paper, we developed a KSL hand shape editor to simply compose hand shape and connect it to a database. We can edit hand shape by a graphical user interface (GUI) on 3D virtual reality environment. Hand shape codes are connected to a sign word editor to synthesize sign motion and to decrease total amount of KSL data.

• Proceedings of the Korea Contents Association Conference
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• 2005.05a
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• pp.15-18
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• 2005

In Korea, researches on distance education had started in early 1980th, and began in earnest from mid 1990th. In this study, we classified academic journals which were searched by the key word of 'Distance Education" from the Database of the Library of Congress. We proposed arithmetic statistical data and implication.

• Journal of Korea Multimedia Society
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• v.8 no.1
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• pp.101-110
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• 2005

Recently software keyboard is widely used in mobile devices where restrictive hardware keyboard is available. In this paper, new software-driven keyboard input method is proposed, which use minimum number of keyboard input with small keyboard space generated after analyzing of database. In this software keyboard is generated dynamically at each input step by analyzing all possible input words. Software keyboard, only possible key buttons are displayed for minimizing keyboard space and preventing mistyping. And it also provide input word completion function when the number of the candidate words is within threshold scope.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10a
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• pp.153-155
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• 1999

1990년대 중반부터 인터넷의 활성화와 다양하고 강력한 문서편집기의 보편화에 따라 복잡한 문서들이 대량으로 생산됨에 따라 인터넷을 통한 효율적인 문서교환의 필요성이 늘어나고 있다. 그러나 생산된 방대한 양의 전자형태 복합문서들은 ？글, MS-Word, LaTex 등 다양한 문서편집기로 작성되었고 문서형식의 표준화가 이루어지지 않아, 효율적으로 활용되지 못하고 특히 문서교환에 있어 많은 문제점을 야기하고 있는 실정이다. 본 논문에서는 다양한 형태로 존재하는 복합문서들을 하나의 통일된 중간포맷으로 변환하고, 변환된 복합문서들을 전문데이터베이스(full-text database)화하여 이를 인터넷을 통해 효율적으로 검색할 수 있는 전문검색시스템 모델을 제시한다.

• The Journal of the Acoustical Society of Korea
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• v.16 no.6
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• pp.106-109
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• 1997

For the practical isolated word recognition system, the ability to reject the out-of -vocabulary(OOV) is required. In this paper, we present a rejection method which uses the clustered phoneme modeling combined with postprocessing by likelihood ratio scoring. Our baseline speech recognition system was based on the whole-word continuous HMM. And 6 clustered phoneme models were generated using statistical method from the 45 context independent phoneme models, which were trained using the phonetically balanced speech database. The test of the rejection performance for speaker independent isolated words recogntion task on the 22 section names shows that our method is superior to the conventional postprocessing method, performing the rejection according to the likelihood difference between the first and second candidates. Furthermore, this clustered phoneme models do not require retraining for the other isolated word recognition system with different vocabulary sets.