• Koreanishche Zeitschrift fur Deutsche Sprachwissenschaft
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• v.3
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• pp.151-183
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• 2001

이 논문은 독일어의 연구개비음의 실현을 최적성이론의 관점에서 설명한다. 종래의 규칙이론에서는 파생어 Sprengung, hungrig 등에서 /g/가 두번째 음절의 음절머리 (onset)로 실현되지 않는 이유를 /g/삭제 규칙의 순환적인 적용을 통해 설명한다. 그러나 이 논문은 그 이유가 형태적으로 관련된 두 개의 단어사이의 대응관계에 의한 결과임을 보임으로써 규칙이론의 순환적용이 설명하지 못하는 중요한 사실을 포착한다: 파생어에서 /g/가 탈락되는 경우는 오직 이를 통해 파생어와 그 어기간의 음운적인 유사성이 커질 때만으로 한정된다

• The Korean Journal of Applied Statistics
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• v.19 no.1
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• pp.135-148
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• 2006

Independent component analysis (ICA) is a statistical method for transforming an observed high-dimensional multivariate data into statistically independent components. ICA has been applied increasingly in wide fields of spectrum application since ICA is able to extract unknown components of a mixture from spectra. We focus on application of ICA for separating independent sources and predicting each composition using extracted components. The theory of ICA is introduced and an application to a metal surface spectra data will be described, where subsequent analysis using non-negative least square method is performed to predict composition ratio of each sample. Furthermore, some simulation experiments are performed to demonstrate the performance of the proposed approach.

• The Journal of the Acoustical Society of Korea
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• v.13 no.2
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• pp.76-85
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• 1994

A speech enhancement algorithm which attenuates nonstationary colored noise is presented In this paper. The algorithm consists of a stationary Kalman filter and the simple speech/nonspeech detector. While the conventional enhancement systems are focused on a stationary and/or white background noise, this study Is focused on the mort realistic nonstationary and nonwhite noise. An AR model-based vector Kalman filter is used as a noise suppression system and a short-time energy threshold logic is used as a speech/nonspeech classifier. For Kalman filtering. noise coefficients are estimated in the nonspeech frame, and speech coefficients are estimated by applying the EM iteration algorithm. Simulation results using the car noise are presented based on the signal-to-noise ratio and informal listening tests. According to the experimental results, background noises in the nonspeech frames are eliminated almost completely, while some distortions are noticed in the speech frames. The distortion becomes severer as the SNR is reduced to 0dB and -5dB. Intelligibility, however, is not degraded significantly.

• Clinical and Experimental Pediatrics
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• v.48 no.1
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• pp.34-39
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• 2005

Purpose : Perinatal complications associated with maternal smoking and alcohol ingestion in pregnancy have been well documented. But until now there has been no clinical data on it collected in our country. In this paper, we tried to research the association between maternal smoking and alcohol ingestion in pregnancy and the physical indices of the neonate at delivery among unmaried mothers from one charitable institution. Methods : We enlisted 125 unmarried with a history of smoking and alcohol consumption during pregnancy who delivered a baby in National Medical Center from March, 2001 to March, 2004 as a study group. As a control, 174 unmarried mothers without a history of smoking and alcohol were enlisted. Then, we compared the physical indices - birth weight, height, and the head circumference - of the neonates from both groups. Furthermore, we investigated the effects of the period and the quantity of maternal smoking and alcohol ingestion on the physical indices of the neonates from the both groups. Results : Low physical indices of neonates were found in the study group(either smoking group, or drinking group) compared with the control group. The quantity of smoking or drinking and the period of smoking or drinking have no significant effect on physical indices. Conclusion : We found that maternal smoking and alcohol result in the low physical index of neonates, and educational initiatives must be directed at expectant mothers to emphasize the harmful effects of smoking and alcohol ingestion in pregnancy.

• Journal of The Korean Society of Grassland and Forage Science
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• v.5 no.3
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• pp.207-211
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• 1985

This study was conducted to determine the effects of shade (full day light; 100, 80, 60, 40 and 20%) and fertilization levels (high; $N\;30kg-P_2O_5\;35kg-K_2O\;30kg$, moderate; $N\;20kg-P_2O_5\;25kg-K_2O\;20kg$, and low; $N\;10kg-P_2O_5\;15kg-K_2O\;10kg$) of forest pasture on intake palatability of Korean native goat, and the effects of shade under the conditions of 50% shaded forest pasture and full day light pastures on grazing behavior. This experiment was done at the experimental field of Chungnam National University, in Taejon, from 1983 to 1984. The results obtained are summarized as follows: 1. The dry matter intake, R.I.I. and Touch number of Korean native goat were affected by the shade degrees and fertilization levels, generally the increase of the fertilization level and high shading degree increased the NO_3-N$ contents in the plants, but decreased the soluble carbohydrate contents. It means that the decrease of the utilization of the shade culture grasses is due to the decreased intake palatability of forest pastures, particularly the conditions high fertilization level and above 60% of shading level seemed to have a nitrate stress. 2. Grazing time of forest pastures by Korean native goat tended to be spend more time than full day light pastures, also tendency of the major grazing activity tended to be graze continuously without difference of variation of grazing time within a day. Considering of the characteristies os shade, the intensive utilization of forest pastures seemed to be most effective during the high temperature season in August.

• Proceedings of the Acoustical Society of Korea Conference
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• 1993.06a
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• pp.233-237
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• 1993

본 논문에서는 패턴 매칭 방법에 근거하여 인식 단위가 음소인 음소 기반 인식 시스템을 구성하였다. 선택한 신경망 구조는 생물학적 신경망인 코호넨(T. Kohonen)의 SOFM(Self-Organizing Feature Map)으로 패턴 매칭 과정 중 cluster로 사용하였다. SOFM 신경망은 신호 공간에 대해서 최적의 국소(局所) 해부적 사사에 의한 자기 조직화 과정을 수행하며, 그 결과 인식 문제에 있어서 상당히 높은 정확도를 나타낸다. 따라서 SOFM 신경망은 음소 인식에도 효과적으로 응용될 수 있다. 또한 음소 인식 시스템의 성능 향상을 위해 K-means 클러스터링 알고리즘이 결합된 학습 알고리즘을 제안하였다. 제안된 음소 인식 시스템의 성능을 평가하기 위해, 먼저, 우리말 음소들을 모음, 파열음, 마찰음, 파찰음, 유음 및 비음, 종성의 6개 음소군으로 분류하고 각 음소군에 대한 특징 지도를 구성하여 labeler의 기능을 수행하게 하였다. 화자 종속 인식실험 결과 87.2%의 인식률을 보였으며 제안한 학습법의 빠른 수렴성과 인식률 향상을 확인하였다.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.11 no.2
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• pp.141-145
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• 2000

Background and Objectives : The nasalance score measured by Nasometer is a supplementary data for the perceptually rated nasality by a trained speech pathologist. The nasalance score varies with subjects. The objective of the present study was to examine whether there are differences in nasalance scores as a function of age and sex. Materials and Method : This study used 20 normal chidren aged from 3 to 8 and 40 normal adults aged from 21 to 37(male : female= 1 : 1) as subjects. The nasalance scores were analyzed in 3 different phonetic contests(nasal, /i/ vowel,/a/ vowel) and 4 different sentence lengths(1, 2, 4, 8 syllable). Results : The children had significantly higher nasalance scores in short sentences an the adults. The female subjects had significantly higher nasalance scores in nasal sentences and in short sentences than the male subjects. Conclusion : These results may indicate that sex and age differences should be considered in the interpretation of the nasalance score in nasal sentences or in short sentences.

• Proceedings of the KSPS conference
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• 2007.05a
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• pp.167-169
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• 2007

This study analyzes Korean students' pronunciation errors in stop-nasal sequences in English. For the study, 23 English words of stop-nasal sequences were pronounced by 4 natives and 21 Korean students. The results showed two kinds of pronunciation errors: the insertion of a vowel and the nasal assimilation between stops and nasals. A teaching material was designed based on the errors. After a 60-minute class with the material they were asked to pronounce the same words in another session. There was a substantial improvement in the error correction.

• Proceedings of the Acoustical Society of Korea Conference
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• 1998.08a
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• pp.60-64
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• 1998

음성인식 시스템의 실용화 과정에서 훈련환경과 테스트 환경의 불일치로 인한 인식성능의 저하는 반드시 극복되어야 할 문제이다. 본 논문에서는 잡음 tR인 입력음성의 비음성구간에서 잡음레벨을 추정하여 음성 스펙트럼에서 추정된 잡음레벨을 빼는 스펙트럼 차감법고 스펙트럼 영역에서 미리 정해진 마스킹 레벨보다 낮은 에너지 값을 마스킹 레벨로 올려주는 잡음 마스킹을 함께 사용함으로써 훈련 환경과 테스트환경의 불일치를 줄이는 방법을 제안한다. 그리고 복수의 마스킹 레벨에 대한 모델들을 미리 만들어 두고 추정된 잡음 레벨에 따라 적합한 마스킹 레벨의 보델을 사용하여 인식을 수해？는 다중 모델 방법을 적용하였다. 자동차 소음환경에서 두 가지 마스킹 레벨에 대한 모델을 이용한 화자독립고립단어 인식 실험을 통하여 본 논문에서 제안한 방식은 정차중 무시동 환경에서 95.8%, 정차중 시동 환경에서 95.6%, 한적한 도로환경에서 92.8%, 복잡한 시내도로 환경에서 89.6%, 고속도로 환경에서 74.4%의 인식성능을 나타내었으며, 평균 90.7%의 성능을 얻을 수 있다.

• Proceedings of the Acoustical Society of Korea Conference
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• 1996.10a
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• pp.76-79
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• 1996

본 논무에서는 한국어 음소를 대상으로 Kohonen 이 제안한 LVQ2 방법의 결저을 보완한 MLVQ2 방법으로 인식실험을 행하고 MLVQ2 알고리즘의 유효성을 검토하고자 한다. 인식실험을 위한 음성자료는 ETRI 611단어로부터 추출한 49음소를 사용하였다. 그리고 인식실험에 있어서는 먼저 파열음을 대상으로 학습회수, 표준패턴의 수, 샘플수에 따른 인식률의 변화를 조사하였으며, 이 결과 표준패턴의 수 15개, 학습회수 10회 이하, 샘플 수 3000 개일 경우가 가장 좋은 인식률을 보였다. 이 결과를 참고로 음소군별 인식실험 결과 모음 69.11%, 파열음 74.69%, 마찰음 및 파찰음 86.31%비음 및 유음 74.51%의 평균 인식률을 얻었다. 또한 , 한국어 49음소 전음소에 대한 인식실험 결과 71.2%의 인식률 얻어 MLVQ2의 유효성을 확인하였다.