• 제목/요약/키워드: Text-independent

검색결과 237건 처리시간 0.038초

Size-Independent Caption Extraction for Korean Captions with Edge Connected Components

  • Jung, Je-Hee;Kim, Jaekwang;Lee, Jee-Hyong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제12권4호
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    • pp.308-318
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    • 2012
  • Captions include information which relates to the images. In order to obtain the information in the captions, text extraction methods from images have been developed. However, most existing methods can be applied to captions with a fixed height or stroke width using fixed pixel-size or block-size operators which are derived from morphological supposition. We propose an edge connected components based method that can extract Korean captions that are composed of various sizes and fonts. We analyze the properties of edge connected components embedding captions and build a decision tree which discriminates edge connected components which include captions from ones which do not. The images for the experiment are collected from broadcast programs such as documentaries and news programs which include captions with various heights and fonts. We evaluate our proposed method by comparing the performance of the latent caption area extraction. The experiment shows that the proposed method can efficiently extract various sizes of Korean captions.

토목환경공학과 특성을 고려한 공학입문설계 학습지도 사례연구 (Case Study on Course Plan of Introductory Engineering Design for Students Majoring Civil and Environmental Engineering)

  • 박지호;전영우;김영욱
    • 공학교육연구
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    • 제15권2호
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    • pp.52-57
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    • 2012
  • This study summarized the case study of a course development of introductory engineering design considering the characteristics of civil and environmental engineering. The course mainly depends on conducting the design projects. The self-developed text book for the course consists of learning and activities of the core elements for the creation and decision of ideas and two independent design projects. Especially, the design project drew from a survey of students majoring in civil and environmental engineering and is well knitted to help students obtain the potential for soft-landing at higher major courses.

CONDITIONAL INDEPENDENCE AND TENSOR PRODUCTS OF CERTAIN HILBERT L(sup)$\infty$-MODULES

  • Hoover, Thomas;Lambert, Alan
    • 대한수학회지
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    • 제38권1호
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    • pp.125-134
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    • 2001
  • Independent $\sigma$-algebras Α and Β on X, L$^2$(X, Α V Β), L$^2$(X x X, Α x Β), and the Hilbert space tensor product L$^2$(X,Α), (※Equations, See Full-text) L$^2$(X,Β), are isomorphic. In this note, we show that various Hilbert C(sup)*-algebra tensor products provide the analogous roles when independence is weakened to conditional independence.

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PCA를 이용한 자동차 주행 환경에서의 화자인식 (Speaker Recognition using PCA in Driving Car Environments)

  • 유하진
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2005년도 춘계 학술대회 발표논문집
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    • pp.103-106
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    • 2005
  • The goal of our research is to build a text independent speaker recognition system that can be used in any condition without any additional adaptation process. The performance of speaker recognition systems can be severally degraded in some unknown mismatched microphone and noise conditions. In this paper, we show that PCA(Principal component analysis) without dimension reduction can greatly increase the performance to a level close to matched condition. The error rate is reduced more by the proposed augmented PCA, which augment an axis to the feature vectors of the most confusable pairs of speakers before PCA

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운율 정보를 이용한 문장 독립형 화자인식 (Text Independent Speaker Recognition System Using Prosody)

  • 경연정
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 1998년도 제15회 음성통신 및 신호처리 워크샵(KSCSP 98 15권1호)
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    • pp.396-400
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    • 1998
  • 문장 독립형 화자인식 시스템에 운율정보 사용을 제안한다. 스펙트럴 특징패턴만을 주로 사용하고 있는 기존의 화자인식 시스템은 채널왜곡이나 기타 잡음환경에서 성능이 크게 저하된다. 그러나 화자의 speaking style을 반영하는 운율정보는 주위환경에 강인한 특성을 갖는다. 적합한 코드북 크기와 피치 컨투어 특징 벡터의 길이를 실험 치로 구하여 자동차 소음과 백색 가우시안 소음이 섞인 음성에 대하여 화자인식 실험을 하였다. 실험 결과 소음 환경에서 운율 정보를 이용한 화자 dsltlr 시스템이 스펙트럴 모델보다 인식율이 높음을 보였다.

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고유영역을 이용한 문자독립형 화자인식에 관한 연구 (A Study On Text Independent Speaker Recognition Using Eigenspace)

  • 함철배;이동규;이두수
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 하계종합학술대회 논문집
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    • pp.671-674
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    • 1999
  • We report the new method for speaker recognition. Until now, many researchers have used HMM (Hidden Markov Model) with cepstral coefficient or neural network for speaker recognition. Here, we introduce the method of speaker recognition using eigenspace. This method can reduce the training and recognition time of speaker recognition system. In proposed method, we use the low rank model of the speech eigenspace. In experiment, we obtain good recognition result.

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노트수에 의한 프로그램 복잡성 개선

  • 노철우
    • ETRI Journal
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    • 제5권3호
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    • pp.16-25
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    • 1983
  • Increasing importance is being attached to the idea of measuring software characteristics. This paper deals with following things. First, a relation of program and flow graph is discussed. It describes a theoretic complexity measure and illustrates how it can be used to manage and control program complexity. Second, cyclomatic complexity measure is discussed. The complexity is independent of physical size and depends only on the decision structure of a program. Third, consider a knot which defines crossing point and provide the ordering of the nodes to make the transition from a two dimensional graph to a one dimensional program. A program modules that can improve FORTRAN IV program text is tested by knot counting and its control complexity is improved.

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MLP 군집 모델에 기반한 어구독립 화자증명 (Text-Independent Speaker Verification Based on MLP Cohort Model)

  • 이태승;최호진
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2000년도 가을 학술발표논문집 Vol.27 No.2 (2)
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    • pp.434-436
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    • 2000
  • 본 논문에서는 기존의 확률적 화자군집 모델을 MLP(multi-layer perceptron)로 구현하는 방법과 원형 화자군집 모델이 갖는 문제를 해결할 수정 모델을 제시한다. 화자군집 모델은 화자등록 시간에 민감한 실용 환경에서 중요한 의미를 지닌다. 본 연구에서 사용한 인식단위는 여러 음소계열에서 지속적인 부분을 추출한 지속음이므로 화자등록과 증명 단계에서 특정한 어구에 한정되지 않는 어구독립 방식을 채택한다.

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부가 주성분분석을 이용한 미지의 환경에서의 화자식별 (Speaker Identification Using Augmented PCA in Unknown Environments)

  • 유하진
    • 대한음성학회지:말소리
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    • 제54호
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    • pp.73-83
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    • 2005
  • The goal of our research is to build a text-independent speaker identification system that can be used in any condition without any additional adaptation process. The performance of speaker recognition systems can be severely degraded in some unknown mismatched microphone and noise conditions. In this paper, we show that PCA(principal component analysis) can improve the performance in the situation. We also propose an augmented PCA process, which augments class discriminative information to the original feature vectors before PCA transformation and selects the best direction for each pair of highly confusable speakers. The proposed method reduced the relative recognition error by 21%.

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