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이교구,애론 마스터(Aaron S. Master) 한국전자음악협회 2004 에밀레 Vol.- No.3
시그널의 사인 구성분의 온셋(onset)을 명백히 모델하는 시스템이 소개된다. 이를 위하 여, 시스템은 시간 재배치 데이터를 이용하여 가능한 온셋들을 예측한다. 온셋이 탐지 되면, 재배치된 데이터를 이용하여 원래 온셋의 정확한 시간상 위치를 예측하고, 이에 상응하는 출력을 합성한다. 이는 온셋들을 암시적으로 희미하게 하는 전통적인 시간 재배치보다 유리하다. 갑작스런 온셋을 가진 합성 그리고 실재하는 테스트 신호를 이 용하여 본 시스템의 유효성이 실증된다.
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Agricultural land use in less favored areas in Japan and Measures against Abandoned cultivated land
교구탁야 한국농촌계획학회 2009 농촌계획 Vol.15 No.3
It may be said that a farmer's crisis deepens from the number of farm households and a trend of the number of cultivated land of the farmer attracting attention for the most fundamental numerical value of the Census of Agriculture 2005. A rate of decline of number of farm households seems to have been stopped, but expansion lasts a number of farm households rate of decline. I can, so to speak, watch weakening of flatland area and luck of mountainous areas and a situation to say if I look in that according to classification agricultural area. I can nominate the effect of a direct payment system for farmers in hilly and mountainous areas enforced in 2000 for the background. It is located in case of the policy introduced preceding it while the rural community and the community including the urban area being paid attention as the last resort of a regional reproduction now. In particular, the character as the village activation subsidy has been strengthened in case of the 2nd stage institutional revise.
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음악에서의 보컬 신호 인식을 위한 트레이닝 데이터 자동주석기법 연구
이교구(Kyogu Lee),Markus Cremer 한국전자음악협회 2009 에밀레 Vol.- No.7
We present a novel approach to labeling a large amount of training data for vocal/non-vocal discrimination in musical audio with the minimum amount of human labor. To this end, we use MIDI files for which vocal lines are encoded on a separate channel and synthesize them to create audio files. We then align synthesized audio with real recordings using dynamic time warping(DTW) algorithm. Note onset/offset information encoded in vocal lines in MIDI files provides precise vocal/non-vocal boundaries and we obtain from the minimum-cost alignment path the corresponding boundaries in actual recordings. This near labor-free labeling process allows us to acquire a large training data set, and the experiments show promising results when tested on an independent test set, using hidden Markov models as a classifier. We also demonstrate that the data generated by the proposed system is good data by showing that the overall performance increases with more training data.
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합성곱 신경망 기반 환경잡음에 강인한 교통 소음 분류 모델
이재준,김완수,이교구,Lee, Jaejun,Kim, Wansoo,Lee, Kyogu 한국음향학회 2018 한국음향학회지 Vol.37 No.6
As urban population increases, research on urban environmental noise is getting more attention. In this study, we classify the abnormal noise occurring in traffic situation by using a deep learning algorithm which shows high performance in recent environmental noise classification studies. Specifically, we classify the four classes of tire skidding sounds, car crash sounds, car horn sounds, and normal sounds using convolutional neural networks. In addition, we add three environmental noises, including rain, wind and crowd noises, to our training data so that the classification model is more robust in real traffic situation with environmental noises. Experimental results show that the proposed traffic sound classification model achieves better performance than the existing algorithms, particularly under harsh conditions with environmental noises.
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