• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.255-256
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• 2019

한글 폰트를 만드는 데는 자음+모음 조합으로 약 11,500자 정도의 글자가 필요하다. 디자이너가 글자 하나씩 전부 디자인 하는 것도 굉장한 부담요소이고, 한글폰트를 제작하는데 있어 3개월 이상의 소요 기간과 3000만 원 이상의 비용부담 또한 무시 못 할 요소이다. 게다가 카피라이트 폰트에 대한 저작권 문제 또한 골칫거리다. 그래서 이를 최소한으로 하고자 딥 러닝의 방식중 하나인 GAN(생성적 적대 신경망)을 통해서 디자이너가 399자만 작성하고 나머지는 컴퓨터가 디자이너의 폰트 디자인을 인식하고 자동으로 만들어 주는 프로그램을 고안하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.177-189
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• 2017

The aim of this study was to understand and describe the awareness of the emotional labor of nursing college students in a graduation year. The participants were eleven students in nursing colleges. The data were collected from September 5, 2016 to November 25 through in-depth interviews until it was saturated. All interviews were recorded and transcribed as they were spoken. Colaizzi's phenomenological method was used for data analysis. In this study, twenty-one themes, ten theme clusters and five categories were generated. The five categories consisted of 'Confused by irrational circumstances,' 'Skepticism on nursing occupation,' 'Empathy for the nurse's difficult situation,' 'Learning nurses' words and behavior', and 'Preparing for the future.' These results will contribute to the qualitative improvement of nursing practice education by providing the grounds for an effective educational strategy development that manages the emotional labor of Nursing students from clinical practice. In-depth studies on the experience of nursing students' emotional labor and studies on various factors affecting the awareness of emotional labor in nursing students and problems will be required.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.6
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• pp.927-937
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• 2018

In this paper the comparative study of the consonants of Pyongyang and Seoul dialects of Korean is performed from the perspective of the signal processing which can be regarded as the basis of engineering applications. Until today, the most of speech signal studies were primarily focused on the vowels which are playing important role in the language evolution. In any language, however, the number of consonants is greater than the number of vowels. Therefore, the research of consonants is also important. In this paper, with the vowel study of the Pyongyang dialect, which was conducted by phonological research and experimental phonetic methods, the consonant studies are processed based on an engineering operation. The alveolar consonant, which has demonstrated many differences in the phonetic value between Pyongyang and Seoul dialects, was used as the experimental data. The major parameters of the speech signal analysis - formant frequency, pitch, spectrogram - are measured. The phonetic values between the two dialects were compared with respect to /시/ and /씨/ of Korean language. This study can be used as the basis for the voice recognition and the voice synthesis in the future.

• The Journal of the Acoustical Society of Korea
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• v.14 no.2
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• pp.101-112
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• 1995

In order to construct a feature map-based phoneme classification system for speech recognition, two procedures are usually required. One is clustering and the other is labeling. In this paper, we present a phoneme classification system based on the Kohonen's Self-Organizing Feature Map (SOFM) for clusterer and labeler. It is known that the SOFM performs self-organizing process by which optimal local topographical mapping of the signal space and yields a reasonably high accuracy in recognition tasks. Consequently, SOFM can effectively be applied to the recognition of phonemes. Besides to improve the performance of the phoneme classification system, we propose the learning algorithm combined with the classical K-mans clustering algorithm in fine-tuning stage. In order to evaluate the performance of the proposed phoneme classification algorithm, we first use totaly 43 phonemes which construct six intra-class feature maps for six different phoneme classes. From the speaker-dependent phoneme classification tests using these six feature maps, we obtain recognition rate of $87.2\%$ and confirm that the proposed algorithm is an efficient method for improvement of recognition performance and convergence speed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.1
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• pp.59-68
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• 1999

Recently, research and developmental direction of communication system is concurrent adopting voice data and face image in speaking to provide more higher recognition rate then in the case of only voice data. Therefore, we present a method of lipreading in speech image sequence by using the 3-D facial shape model. The method use a feature information of the face image such as the opening-level of lip, the movement of jaw, and the projection height of lip. At first, we adjust the 3-D face model to speeching face image sequence. Then, to get a feature information we compute variance quantity from adjusted 3-D shape model of image sequence and use the variance quality of the adjusted 3-D model as recognition parameters. We use the intensity inclination values which obtaining from the variance in 3-D feature points as the separation of recognition units from the sequential image. After then, we use discrete HMM algorithm at recognition process, depending on multiple observation sequence which considers the variance of 3-D feature point fully. As a result of recognition experiment with the 8 Korean vowels and 2 Korean consonants, we have about 80% of recognition rate for the plosives and vowels. We propose that usability with visual distinguishing factor that using feature vector because as a result of recognition experiment for recognition parameter with the 10 korean vowels, obtaining high recognition rate.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.36C no.3
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• pp.47-56
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• 1999

Various phonological alteration occurs when we pronounce continuously in korean. This phonological alteration is one of the major reasons which make the speech recognition of korean difficult. This paper presents a rule-based system which converts a speech recognition character string to a text-based character string. The recovery results are morphologically analyzed and only a correct text string is generated. Recovery is executed according to four kinds of rules, i.e., a syllable boundary final-consonant initial-consonant recovery rule, a vowel-process recovery rule, a last syllable final-consonant recovery rule and a monosyllable process rule. We use a x-clustering information for an efficient recovery and use a postfix-syllable frequency information for restricting recovery candidates to enter morphological analyzer. Because this system is a rule-based system, it doesn't necessitate a large pronouncing dictionary or a phoneme dictionary and the advantage of this system is that we can use the being text based morphological analyzer.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.5
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• pp.458-467
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• 1991

In this paper, the cause of linear prediction error is analysed and the theoretical basis for nomalizing the format bandwidth to 0is given and its validity is verified. The formant and bandwidth in relation to the position of the poles of AR filter are measured for an alaysis of the relation between the pole position and the formant bandwidth. By changing the glottis reflection coefficient to 1. the pole position and the formant bandwidth. By changing the glottis reflection coefficient to 1. the effect of the glottis is eliminated and as the result a new linear preiction coefficients are obtained by normalizing the formant bandwidth of the signal to 0. since these coefficients are symmetrical, the standard deviation is larger than the coefficients with fixed glottis reflection coefficient. The bit rate for speech coding can be reduced by a factor of 2 without any loss of information. Through computer simulation, recognition rate of 96.7% is botained by using the proposed algorithm in recognizing 5 Korean vowels in noisy environment.

• Journal of the Korean Institute of Telematics and Electronics
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• v.12 no.2
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• pp.11-17
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• 1975

The paper examined the character structure as a basic study for the recognition of Korean characters. In view of concave structure, line structure and node relationship of character graph, the algebraic structure of the basic Korean characters is are analized. Also, the degree of complexities in their character structure is discussed and classififed. Futhermore, by describing the fact that some equivalence relations are existed between the 10 vowels of rotational transformation group by Affine transformation of one element into another, it could be pointed out that the geometrical properting in addition to the topological properties are very important for the recognition of Korean characters.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.551-557
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• 2021

The purpose is qualitative study on the search for professionalism in the teaching profession among students who are completing the nursing teaching profession. The participants of this study consisted of 14 students who are completing teaching positions at University H located in S city and University M located in province K. For data collection, a group was formed on the professions of public health teachers, and interviews and self-reports were prepared. The collected data were analyzed by Colaizzi's phenomenological method. As a result of analyzing the professionalism of nursing students' health teachers, 29 meaningful statements were derived from 3 categories, 7 topics, and theme clusters. The three categories were derived as 'recalling the first meeting with the health teacher', 'professional intuition of the public health teacher in the conventional wisdom', and 'professional intuition as a teacher'. The results of this study were provided to understand the professional intuition of public health teachers, and it was possible to confirm the opportunity to have various social participation as nurses. In addition, it is expected that it will be used as basic data for students' career guidance and counseling.

• Phonetics and Speech Sciences
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• v.5 no.3
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• pp.21-29
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• 2013

The mismatch negativity (MMN) is known to be a fronto-centrally negative component of the auditory event-related potentials (ERP). $N\ddot{a}\ddot{a}t\ddot{a}nen$ et al. (1997) and Winkler et al. (1999) discuss that MMN acts as a cue to a phoneme perception in the ERP paradigm. In this study a perception experiment based on an ERP paradigm to check how Korean and American English speakers perceive the American English high front vowels was conducted. The study found that the MMN obtained from both Korean and American English speakers was shown around the same time after they heard F1s of English high front vowels. However, when the same groups heard English words containing them, the American English listeners' MMN was shown to be a little faster than the Korean listeners' MMN. These findings suggest that non-speech sounds, such as F1s of vowels, may be processed similarly across speakers of different languages; however, phonemes are processed differently; a native language phoneme is processed faster than a non-native language phoneme.