ScholarWorks@Gachon: Oh, Sang Yeob

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Oh, Sang Yeob (오상엽)

College of IT Convergence (Department of Computer Engineering)

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Tel 031-750-5798
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Vocabulary Recognition:11||HMM:11||어휘 인식:10||safe message:10||gaussian model:7||음성 인식:7||Feature Extraction:6||backoff:6||Speech Recognition:6||특징 추출:5||안전 메시지:5||Voice recognition:5||DTN:5||가우시안 모델:5||DNN:4||highway:4||adaptive filter:4||Echo Noise Cancellation:4||Vehicle Safety Communications:4||multihop:4||multichannel:4||LMS(Least Mean Square) filter:4||Bhattacharyya Algorithm:4||Average Estimator:4||GMM:4||hybridvehicular communication:4||Recognition Model:3||vocabulary recognition:3||Gaussian model:3||결정 트리:3||LMS:3||Model optimization:3||Decision Tree:3||모델 최적화:3||Feature extraction:3||AELMS Filter:3||인식 모델:3||facet:3||Bayesian:3||백 오프:3||Vocabulary recognition:3||CHMM:3||Voice detection:3||Optimization Learning Model Configuration:2||Outof Vocabulary Rejection:2||clustering model:2||OutofVocabulary rejection:2||configuration thread:2||음소 유사율:2||인식률:2||feature extraction:2||forward collision warning:2||잡음 제거:2||적응 필터:2||Phoneme Likelihood:2||차량 안전 통신:2||mobility management:2||Library system:2||Broadcasting:2||Phonemes Similarity Rate:2||택시 이동 모델:2||평균 예측:2||하이브리드 차량 통신:2||phoneme modeling:2||MFCC:2||prediction:2||recognition rate:2||retrieve system:2||superframe:2||taxi movement model:2||traffic hazard:2||tying model:2||vehicular networks:2||vocabulary data:2||Recognition Rate:2||Mobile IP:2||workingday movement model:2||Reliability Measures:2||Reliability measure:2||Model Optimization:2||HMM(Hidden Markov Model) Model:2||고속도로:2||CHMM(Continuous Hidden Markov Model) Model:2||Backoff:2||Speech recognition:2||AELMS filter:2||근무일 이동 모델:2||Syllable Restoration:2||Bayesian Method:2||Emergency message:2||Clustering model:2||Error Compensation:2||멀티 홉:2||멀티채널:2||Noise elimination:2||VR/AR:2||VSC:2||미등록어 거절:2||바타차랴 알고리즘:2||반향 잡음 제거:2||Noise estimation:2||베이시안 기법:2||LMS 필터:2||Error Correction:2||ONE simulator:2||ONE 시뮬레이터:2||오류 보정:2||Vocabulary Clustering:1||Vocabulary Independence:1||Voice detect:1||Voice distribution:1||Voice energy parameter:1||WDM:1||Zero coding:1||channel similarity:1||clustering modeling:1||correlation:1||correlation coefficient:1||data aggregation:1||location update:1||mobility protocol:1||multipath routing:1||multimedia communication:1||noise:1||opportunistic protocols:1||packet transmission:1||routing protocol:1||s tau:1||sensor data:1||sensor networks:1||voice detectin:1||voice extract:1||weight number:1||가변 어휘:1||가우시안 분포:1||가중치:1||거리측정 기법:1||검색 시스템:1||게이트웨이 서버:1||고등학교:1||공유 모델링:1||관계:1||교육시스템:1||교육프로그램:1||교통사고 위험:1||군집분석:1||군집화:1||다중상황:1||딥러닝:1||라우팅 프로토콜:1||라이브러리 시스템:1||레거시 시스템:1||레빈스타인 거리:1||모델 공유:1||모바일 앱:1||모수 추정:1||바타챠랴 알고리즘:1||베이시안:1||베이시안 알고리즘:1||센서 데이터:1||수퍼프레임:1||신뢰도 측정:1||앱 개발:1||어휘 데이터:1||어휘 클러스터링:1||연관규칙:1||예측:1||음성 검출:1||음성 모델:1||음성 분포:1||음성 에너지 파라미터:1||음성 추출물:1||음성 특징 추출:1||음소 단위:1||음소 모델링:1||음소 신뢰도 측정:1||음소 추출:1||음절 복원:1||인식률 향상:1||인식율:1||잡음:1||저작도구:1||전방추돌경보:1||중학교:1||차량 간 통신:1||채널 유사성:1||초등학교:1||최적 학습 모델 구성:1||추론:1||컴퓨터 비전:1||클러스터링 모델:1||학습 모델:1||학습 알고리즘:1||.:1||형상형성:1||3Tier Structure:1||3D image compositing:1||3D object detection:1||3D 객체 인식:1||3D 이미지 합성:1||3계층구조:1||AELMS:1||Abnormal Object:1||Adaptive filter:1||App Development:1||Association Rules:1||Authoring Tool:1||Bayesian Algorithm:1||Binding update list:1||CHMM 모델:1||CalltoMobility Ratio:1||Cluster Analysis:1||Clustering:1||Clustering Model:1||Colored Petri Net:1||Computer Vision:1||Crosslayer:1||Crossplatform:1||Deep Learning:1||Distance Measurement Method:1||ERB filter bank:1||Echo cancellation:1||Educational Program:1||Elementary School:1||Energy entropy:1||Feature extract:1||Forward processing:1||Frame energy:1||Gateway Server:1||Gaussian Distribution:1||Gaussian state model:1||HCI:1||HMIPv6:1||Handoff:1||HiSIGMA:1||High School:1||Home Agent:1||Interconnect:1||IoE:1||K평균 알고리즘:1||Kendall&apos:1||Knowledge Reasoning:1||Learning Algorithm:1||Learning Model:1||Least mean square (LMS) filter:1||Legacy System:1||Levenshtein distance:1||Load balancing:1||Location Management:1||Location Registration Management:1||MHH 모델:1||Middle School:1||Mobile App:1||Mobile app:1||Mobile framework:1||Mobile networks:1||Model Optimize:1||Moving average estimator:1||MultiContext:1||Multicasting:1||Multiuser multiplexing:1||NEMO BS:1||Native app:1||Noise Elimination:1||Noise Removal:1||Noise cancellation:1||Noise delamination:1||Noise reduction:1||Noise signal:1||Normalization:1||Osmu(one source multi use):1||P2P Network:1||PRM:1||Parameter Estimation:1||Phoneme character extract:1||Phoneme unit:1||Process:1||Protocol:1||QoS:1||ROTIO:1||RWP:1||Recognition Improve:1||Recognition model:1||Reliability:1||Session Initiation Protocol:1||Share:1||Silence feature extraction:1||Similar phoneme recognition:1||Spectrum:1||Speech Feature Extraction:1||Speech Model:1||Speech recognition system:1||Storage:1||Store processing:1||Taxi movement model:1||Training System:1||Transport Layer Mobility:1||Tying Modeling:1||UFN:1||Utilization:1||Vehicle safety:1||

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1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114

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