• 제목/요약/키워드: normalized score

검색결과 110건 처리시간 0.03초

외국어 발화오류 검출 음성인식기를 위한 스코어링 기법 (Machine scoring method for speech recognizer detection mispronunciation of foreign language)

  • 강효원;배민영;이재강;권철홍
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2004년도 춘계 학술대회 발표논문집
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    • pp.239-242
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    • 2004
  • An automatic pronunciation correction system provides users with correction guidelines for each pronunciation error. For this purpose, we propose a speech recognition system which automatically classifies pronunciation errors when Koreans speak a foreign language. In this paper, we also propose machine scoring methods for automatic assessment of pronunciation quality by the speech recognizer. Scores obtained from an expert human listener are used as the reference to evaluate the different machine scores and to provide targets when training some of algorithms. We use a log-likelihood score and a normalized log-likelihood score as machine scoring methods. Experimental results show that the normalized log-likelihood score had higher correlation with human scores than that obtained using the log-likelihood score.

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한국인의 외국어 발화오류검출 음성인식기에서 청취판단과 상관관계가 높은 기계 스코어링 기법 (Machine Scoring Methods Highly-correlated with Human Ratings in Speech Recognizer Detecting Mispronunciation of Foreign Language)

  • 배민영;권철홍
    • 음성과학
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    • 제11권2호
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    • pp.217-226
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    • 2004
  • An automatic pronunciation correction system provides users with correction guidelines for each pronunciation error. For this purpose, we develop a speech recognition system which automatically classifies pronunciation errors when Koreans speak a foreign language. In this paper, we propose a machine scoring method for automatic assessment of pronunciation quality by the speech recognizer. Scores obtained from an expert human listener are used as the reference to evaluate the different machine scores and to provide targets when training some of algorithms. We use a log-likelihood score and a normalized log-likelihood score as machine scoring methods. Experimental results show that the normalized log-likelihood score had higher correlation with human scores than that obtained using the log-likelihood score.

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코의 크기 및 형태와 자가건강, 미병과의 상관성 (Association of Nose Size and Shapes with Self-rated Health and Mibyeong)

  • 안일구;배광호;진희정;이시우
    • 동의생리병리학회지
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    • 제35권6호
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    • pp.267-273
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    • 2021
  • Mibyeong (sub-health) is a concept that represents the sub-health in traditional East Asian medicine. Assuming that the nose sizes and shapes are related to respiratory function, in this study, we hypothesized that the nose size and shape features are related to the self-rated health (SRH) level and self-rated Mibyeong severity, and aimed to assess this relationship using a fully automated image analysis system. The nose size features were evaluated from the frontal and profile face images of 810 participants. The nose size features consisted of five length features, one area feature, and one volume feature. The level of SRH and the Mibyeong severity were determined using a questionnaire. The normalized nasal height was negatively associated with the self-rated health score (SRHS) (partial ρ = -0.125, p = 3.53E-04) and the Mibyeong score (MBS) (partial ρ = -.172, p = 9.38E-07), even after adjustment for sex, age, and body mass index. The normalized nasal volume (ρ = -.105, p = 0.003), the normalized nasal tip protrusion length (ρ = -.087, p = 0.014), and the normalized nares width (ρ = -.086, p = .015) showed significant correlation with the SRHS. The normalized nasal area (ρ = -.118, p = 0.001), the normalized nasal volume (ρ = -.107, p = .002) showed significant correlation with the MBS. The wider, longer, and larger the nose, the lower the SRHS and MBS, indicating that health status can be estimated based on the size and shape features of the nose.

비체중지지자세에서의 수동적 발목 발등굽힘과 동적균형검사 수행력의 상관관계 (The Relationship Between Passive Ankle Dorsiflexion With a Non-Weight Bearing Condition and the Performance of the Dynamic Balance Test)

  • 박준상;양노열;권오윤
    • 한국전문물리치료학회지
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    • 제22권1호
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    • pp.30-36
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    • 2015
  • The purpose of this study was to examine the relationships between the ankle dorsiflexion passive range of motion (DF PROM) under a non-weight bearing condition and the normalized reach distance in three directions of the Y-Balance Test (YBT). Sixty-one healthy adults (32 males and 29 females, age: $23.0{\pm}3.0$ years, height: $169.3{\pm}8.9cm$, weight: $61.9{\pm}5.4kg$) participated in this study. The ankle DF PROM was measured using a goniometer. To assess dynamic balance, all subjects performed three trials to determine the maximum lower extremity reach in the anterior, posteromedial, and posterolateral directions of the YBT. The relationship between the ankle DF PROM and both the normalized reach distance in each direction and the composite score of the YBT were analyzed using the Pearson correlation. Only the normalized reach distance in the anterior direction of the YBT was significantly related to the ankle DF PROM measured under a non-weight bearing condition (r=.50, p<.001). Neither the normalized reach distances in the posterior directions nor the composite score of the YBT were significantly correlated with the ankle DF PROM measured under a non-weight bearing condition. These findings suggest that ankle DF PROM does not affect the overall dynamic balance of the lower extremity, with only the anterior dynamic balance affected among the three directions.

에너지 인터넷을 위한 GRU기반 전력사용량 예측 (Prediction of Power Consumptions Based on Gated Recurrent Unit for Internet of Energy)

  • 이동구;선영규;심이삭;황유민;김수환;김진영
    • 전기전자학회논문지
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    • 제23권1호
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    • pp.120-126
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    • 2019
  • 최근 에너지 인터넷에서 지능형 원격검침 인프라를 이용하여 확보된 대량의 전력사용데이터를 기반으로 효과적인 전력수요 예측을 위해 다양한 기계학습기법에 관한 연구가 활발히 진행되고 있다. 본 연구에서는 전력량 데이터와 같은 시계열 데이터에 대해 효율적으로 패턴인식을 수행하는 인공지능 네트워크인 Gated Recurrent Unit(GRU)을 기반으로 딥 러닝 모델을 제안하고, 실제 가정의 전력사용량 데이터를 토대로 예측 성능을 분석한다. 제안한 학습 모델의 예측 성능과 기존의 Long Short Term Memory (LSTM) 인공지능 네트워크 기반의 전력량 예측 성능을 비교하며, 성능평가 지표로써 Mean Squared Error (MSE), Mean Absolute Error (MAE), Forecast Skill Score, Normalized Root Mean Squared Error (RMSE), Normalized Mean Bias Error (NMBE)를 이용한다. 실험 결과에서 GRU기반의 제안한 시계열 데이터 예측 모델의 전력량 수요 예측 성능이 개선되는 것을 확인한다.

SCORE NORMALIZATION FOR A UNIVERSITY GRADES INPUT SYSTEM USING A NEURAL NETWORK

  • Park, Young Ho
    • Korean Journal of Mathematics
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    • 제28권4호
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    • pp.943-953
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    • 2020
  • A university grades input system requires for professors to enter the normalized total scores for the letter grades and to input the scores from six fields such as Midterm, Final, Quiz which sum up to the total. All six fields have specified bounds which add up to 100. Professors should scale in the total scores to match up the letter grades and scale in every field of each student's original scores within the bounds to sum up to the scaled total score. We solve this problem by a novel design of simple shallow neural network.

A Heuristic Algorithm to Find All Normalized Local Alignments Above Threshold

  • Kim, Sangtae;Sim, Jeong Seop;Park, Heejin;Park, Kunsoo;Park, Hyunseok;Seo, Jeong-Sun
    • Genomics & Informatics
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    • 제1권1호
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    • pp.25-31
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    • 2003
  • Local alignment is an important task in molecular biology to see if two sequences contain regions that are similar. The most popular approach to local alignment is the use of dynamic programming due to Smith and Waterman, but the alignment reported by the Smith-Waterman algorithm has some undesirable properties. The recent approach to fix these problems is to use the notion of normalized scores for local alignments by Arslan, Egecioglu and Pevzner. In this paper we consider the problem of finding all local alignments whose normalized scores are above a given threshold, and present a fast heuristic algorithm. Our algorithm is 180-330 times faster than Arslan et al.'s for sequences of length about 120 kbp and about 40-50 times faster for sequences of length about 30 kbp.

낙상 경험 유무에 따른 노인의 기능적 보행성취도 점수(FAP score) 비교 (Comparison of the Functional Ambulation Performance Scores of Senior Adults With or Without a History of Falls)

  • 권혁철;공진용
    • 한국전문물리치료학회지
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    • 제10권1호
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    • pp.1-13
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    • 2003
  • The purpose of the study was to determine if there was a difference in the Functional Ambulation Performance score of senior adults with or without a history of falls during walking at a preferred velocity. Twelve subjects with a history of falling (mean age=73.8) and eight subjects with no history of falling (mean age=70.4) participated in the study. Temporal and spatial parameters of gait were analyzed using the computerized GAITRite system. The GAITRite system integrates specific components of locomotion to provide a single, numerical representation of gait, the Functional Ambulation Performance score. The Functional Ambulation Performance score is a Quantitative means of assessing gait based on specific temporal and spatial parameters. Statistical analysis of the two groups demonstrated a significant decrease in Functional Ambulation Performance score for those with a history of falls. They had lower values for step/extremity ratios, mean normalized velocity, and greater values for step times, percent in double support. These results indicate that the GAITRite system can be useful in detecting footfall patterns and selected time and distance measurements of persons with a history of falls and the Functional Ambulation Performance score can be used as indicators of gait performance for senior adults with a history of falls.

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BSC 지표의 정규화된 Total Score 산출 방법 (A method for producing normalized total score of BSC measures)

  • 김수연;황현석;홍종의
    • 한국산업정보학회논문지
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    • 제12권5호
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    • pp.163-172
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    • 2007
  • BSC(Balanced Scorecard)는 기업의 성과를 총체적으로 측정할 수 있는 도구로 이용되어 왔다. BSC를 이용해 도출된 지표는 서로 다른 단위를 가지므로 측정값을 통해 개별적 지표의 달성도를 파악할 수는 있지만, 전체적인 기업의 전략 달성도를 측정하기는 어렵다. 이를 해결하기 위해 BSC의 서로 다른 지표값에 대한 정규화된 Total Score산출이 필요하다. 본 연구에서는 먼저 AHP(Analytical Hierarchy Process)를 이용하여 BSC 지표들의 가중치를 결정한 후 만족도 함수를 이용하여 서로 다른 측정단위를 가진 BSC지표 측정값을 정규화하여 Total Score를 산출하고자 한다. 산출 방법의 타당성을 검증하기 위하여 CRM의 효과성 측정에 본 방법을 적용한 사례연구를 수행하였다.

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Fundamental Research on Spring Season Daytime Sea Fog Detection Using MODIS in the Yellow Sea

  • Jeon, Joo-Young;Kim, Sun-Hwa;Yang, Chan-Su
    • 대한원격탐사학회지
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    • 제32권4호
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    • pp.339-351
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    • 2016
  • For the safety of sea, it is important to monitor sea fog, one of the dangerous meteorological phenomena which cause marine accidents. To detect and monitor sea fog, Moderate Resolution Imaging Spectroradiometer (MODIS) data which is capable to provide spatial distribution of sea fog has been used. The previous automatic sea fog detection algorithms were focused on detecting sea fog using Terra/MODIS only. The improved algorithm is based on the sea fog detection algorithm by Wu and Li (2014) and it is applicable to both Terra and Aqua MODIS data. We have focused on detecting spring season sea fog events in the Yellow Sea. The algorithm includes application of cloud mask product, the Normalized Difference Snow Index (NDSI), the STandard Deviation test using infrared channel ($STD_{IR}$) with various window size, Temperature Difference Index(TDI) in the algorithm (BTCT - SST) and Normalized Water Vapor Index (NWVI). Through the calculation of the Hanssen-Kuiper Skill Score (KSS) using sea fog manual detection result, we derived more suitable threshold for each index. The adjusted threshold is expected to bring higher accuracy of sea fog detection for spring season daytime sea fog detection using MODIS in the Yellow Sea.