• Title, Summary, Keyword: Korean Recognition

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A Study on Grapheme and Grapheme Recognition Using Connected Components Grapheme for Machine-Printed Korean Character Recognition

  • Lee, Kyong-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.9
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    • pp.27-36
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    • 2016
  • Recognition of grapheme is a very important process in the recognition within 'Hangul(Korean written language)' letters using phoneme recognition. It is because the success or failure in the recognition of phoneme greatly affects the recognition of letters. For this reason, it is reported that separation of phonemes is the biggest difficulty in the phoneme recognition study. The current study separates and suggests the new phonemes that used the connective elements that are helpful for dividing phonemes, recommends the features for recognition of such suggested phonemes, databases this, and carried out a set of experiments of recognizing phonemes using the suggested features. The current study used 350 letters in the experiment of phoneme separation and recognition. In this particular kind of letters, there were 1,125 phonemes suggested. In the phoneme separation experiment, the phonemes were divided in the rate of 100%, and the phoneme recognition experiment showed the recognition rate of 98% in recognizing only 14 phonemes into different ones.

Research on Korea Text Recognition in Images Using Deep Learning (딥 러닝 기법을 활용한 이미지 내 한글 텍스트 인식에 관한 연구)

  • Sung, Sang-Ha;Lee, Kang-Bae;Park, Sung-Ho
    • Journal of the Korea Convergence Society
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    • v.11 no.6
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    • pp.1-6
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    • 2020
  • In this study, research on character recognition, which is one of the fields of computer vision, was conducted. Optical character recognition, which is one of the most widely used character recognition techniques, suffers from decreasing recognition rate if the recognition target deviates from a certain standard and format. Hence, this study aimed to address this limitation by applying deep learning techniques to character recognition. In addition, as most character recognition studies have been limited to English or number recognition, the recognition range has been expanded through additional data training on Korean text. As a result, this study derived a deep learning-based character recognition algorithm for Korean text recognition. The algorithm obtained a score of 0.841 on the 1-NED evaluation method, which is a similar result to that of English recognition. Further, based on the analysis of the results, major issues with Korean text recognition and possible future study tasks are introduced.

The Study on Korean Phoneme for Korean Speech Recogintion

  • Hwang, Young-Soo
    • Proceedings of the IEEK Conference
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    • pp.629-632
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    • 2000
  • In this paper, we studied on the phoneme classification for Korean speech recognition. In the case of making large vocabulary speech recognition system, it is better to use phoneme than syllable or word as recognition unit. And, In order to study the difference of speech recognition according to the number of phoneme as recognition unit, we used the speech toolkit of OGI in U.S.A as recognition system. The result showed that the performance of diphthong being unified was better than that of seperated diphthongs, and we required the better result when we used the biphone than when using mono-phone as recognition unit.

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A Study on Korean Allophone Recognition Using Hierarchical Time-Delay Neural Network (계층구조 시간지연 신경망을 이용한 한국어 변이음 인식에 관한 연구)

  • 김수일;임해창
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.1
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    • pp.171-179
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    • 1995
  • In many continuous speech recognition systems, phoneme is used as a basic recognition unit However, the coarticulation generated among neighboring phonemes makes difficult to recognize phonemes consistently. This paper proposes allophone as an alternative recognition unit. We have classified each phoneme into three different allophone groups by the location of phoneme within a syllable. For a recognition algorithm, time-delay neural network(TDNN) has been designed. To recognize all Korean allophones, TDNNs are constructed in modular fashion according to acoustic-phonetic features (e.g. voiced/unvoiced, the location of phoneme within a word). Each TDNN is trained independently, and then they are integrated hierarchically into a whole speech recognition system. In this study, we have experimented Korean plosives with phoneme-based recognition system and allophone-based recognition system. Experimental results show that allophone-based recognition is much less affected by the coarticulation.

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Parents' recognition and attitudes toward national health insurance coverage of sealant by dental hygienist (치아홈메우기의 건강보험 급여화와 치과위생사 시술에 대한 학부모의 인식 및 태도)

  • Kim, Yun-Jeong
    • Journal of Korean society of Dental Hygiene
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    • v.15 no.6
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    • pp.1099-1105
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    • 2015
  • Objectives: The purpose of this study was to investigate parents' recognition and attitudes toward national health insurance coverage of sealant by the dental hygienists. Methods: A self-reported questionnaire was filled out by 329 elementary school children parents in G metropolitan city and N city from July 11 to 27, 2015. The questionnaire consisted of general characteristics of the subjects, recognition and attitudes toward national health insurance coverage of sealant and sealant by the dental hygienist, and recognition toward national health insurance. The data were analyzed by a descriptive analyses, multiple regression and logistic regression analysis using SPSS 12.0 program. Results: Recognition of national health insurance coverage was 2.52 times higher in high school and 4.97 times higher in recognition toward purpose of sealant. Factor affecting recognition of national health insurance was subscription of private health insurance, recognition of sealant treatment by dental hygienist (DH) and recognition of national health insurance coverage of sealant. Attitude toward sealant treatment by DH was positive in experience of sealant, recognition of sealant treatment by DH and experience of sealant treatment by DH. Factor affecting satisfaction on the sealant by DH was recognition of sealant treatment by DH and recognition of purpose of sealant. Conclusions: To increase national health insurance coverage of sealant, it is necessary to expand positive public relations of sealant by the dental hygienist.

Emotion Recognition using Robust Speech Recognition System (강인한 음성 인식 시스템을 사용한 감정 인식)

  • Kim, Weon-Goo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.5
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    • pp.586-591
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    • 2008
  • This paper studied the emotion recognition system combined with robust speech recognition system in order to improve the performance of emotion recognition system. For this purpose, the effect of emotional variation on the speech recognition system and robust feature parameters of speech recognition system were studied using speech database containing various emotions. Final emotion recognition is processed using the input utterance and its emotional model according to the result of speech recognition. In the experiment, robust speech recognition system is HMM based speaker independent word recognizer using RASTA mel-cepstral coefficient and its derivatives and cepstral mean subtraction(CMS) as a signal bias removal. Experimental results showed that emotion recognizer combined with speech recognition system showed better performance than emotion recognizer alone.

A Study on the Recognition of Korean Digits using Filter-Bank (필터뱅크를 이용한 한국어 숫자음 인식에 관한 연구)

  • Kim, Hong-Sik;Han, Deuk-Young
    • Proceedings of the KIEE Conference
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    • pp.481-483
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    • 1989
  • This paper is concentrated on the recognition of Korean Digits. The speech signals of each of digits are fed into computer through the 18 bandpass filters, AD converter. Spectrum input data are analyzed and used. BASIC program language is used for recognition performance and the result of recognition is outputed to computer screen and printer. In this paper, the strength and weakness of filter-bank analysis method is described and the technique of real-time recognition is argued. In this experiment, Ratio of recognition for speaker dependent recognition was about 97% and recognition time was also satisfied. Therefore, A way of speaker independent recognition will be presented and using for special communication in the future.

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Google speech recognition of an English paragraph produced by college students in clear or casual speech styles (대학생들이 또렷한 음성과 대화체로 발화한 영어문단의 구글음성인식)

  • Yang, Byunggon
    • Phonetics and Speech Sciences
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    • v.9 no.4
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    • pp.43-50
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    • 2017
  • These days voice models of speech recognition software are sophisticated enough to process the natural speech of people without any previous training. However, not much research has reported on the use of speech recognition tools in the field of pronunciation education. This paper examined Google speech recognition of a short English paragraph produced by Korean college students in clear and casual speech styles in order to diagnose and resolve students' pronunciation problems. Thirty three Korean college students participated in the recording of the English paragraph. The Google soundwriter was employed to collect data on the word recognition rates of the paragraph. Results showed that the total word recognition rate was 73% with a standard deviation of 11.5%. The word recognition rate of clear speech was around 77.3% while that of casual speech amounted to 68.7%. The reasons for the low recognition rate of casual speech were attributed to both individual pronunciation errors and the software itself as shown in its fricative recognition. Various distributions of unrecognized words were observed depending on each participant and proficiency groups. From the results, the author concludes that the speech recognition software is useful to diagnose each individual or group's pronunciation problems. Further studies on progressive improvements of learners' erroneous pronunciations would be desirable.

A Study on Development and Real-Time Implementation of Voice Recognition Algorithm (화자독립방식에 의한 음성인식 알고리즘 개발 및 실시간 실현에 관한 연구)

  • Jung, Yang-geun;Jo, Sang Young;Yang, Jun Seok;Park, In-Man;Han, Sung Hyun
    • Journal of the Korean Society of Industry Convergence
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    • v.18 no.4
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    • pp.250-258
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    • 2015
  • In this research, we proposed a new approach to implement the real-time motion control of biped robot based on voice command for unmanned FA. Voice is one of convenient methods to communicate between human and robots. To command a lot of robot task by voice, voice of the same number have to be able to be recognition voice is, the higher the time of recognition is. In this paper, a practical voice recognition system which can recognition a lot of task commands is proposed. The proposed system consists of a general purpose microprocessor and a useful voice recognition processor which can recognize a limited number of voice patterns. Given biped robots, each robot task is, classified and organized such that the number of robot tasks under each directory is net more than the maximum recognition number of the voice recognition processor so that robot tasks under each directory can be distinguished by the voice recognition command. By simulation and experiment, it was illustrated the reliability of voice recognition rates for application of the manufacturing process.

Face Recognition of partial faces using LDA (LDA를 이용한 부분 얼굴 인식)

  • Park, Lee-Ju;On, Seung-Yeop
    • Proceedings of the KIEE Conference
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    • pp.1006-1009
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    • 2003
  • In this paper, we propose a technique of the recognition of partial face. Most of the research is concentrated on the recognition of whole face Since part of the face area in an image can be damaged or overlapped, face recognition based on partial face is required. PCA and LDA technique is applied to the recognition of partial face. Also, a new method to combine the results of the recognition of parts of the face.

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