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음소 인식을 위한 특징 추출의 위치와 지속 시간 길이에 관한 연구
김범국,정현열,Kim, Bum-Koog,Chung, Hyun-Yeol 한국음향학회 1994 韓國音響學會誌 Vol.13 No.4
As a basic research to realize Korean speech recognition system, phoneme recognition was carried out to find out ; 1) the best place which represents each phoneme's characteristics, and 2) the reasonable length of duration for obtaining the best recognition rates. For the recognition experiments, multi-speaker dependent recognition with Bayesian decision rule using 21 order of cepstral coefficient as a feature parameter was adopted. It turned out that the best place of feature extraction for the highest recognition rates were 10~50ms in vowels, 40~100ms in fricatives and affricates, 10~50ms in nasals and liquids, and 10~50ms in plosives. And about 70ms of duration was good enough for the recognition of all 35 phonemes. 한국어 음성인식 시스템을 구현하기 위한 기초 연구로서 한국어 전음소를 대상으로 1) 각 음소의 특성을 가장 잘 나타내는 최적의 위치, 2) 최고의 인식률을 얻기 위한 적당한 지속시간길이를 찾기위해서 음소인식을 수행하였다. 인식실험을 위해 특징파라메터로 21차원 켑스트럼계수를 이용하여 베이즈 결정법칙으로서 세화자에 대한 종속인식실험을 행하였다. 인식실험결과 최고의 인식률을 보이는 최적의 특징추출의 위치는 모음에서는 10~50ms, 마찰음및 파찰음은 40~100ms, 비음, 유음은 10~50ms, 그리고 파열음은 10~50ms임을 알 수 있었다. 또, 35 전음소를 대상으로한 인식에 있어서는 최고의 인식률을 얻기위한 지속시간 정 보의 길이는 60~70ms정도가 충분함을 알 수 있었다.
지능형 휠체어 적용을 위한 기울기 히스토그램의 상관계수를 이용한 도로위의 이륜차 인식
김범국,박상희,이영학,이강화,Kim, Bum-Koog,Park, Sang-Hee,Lee, Yeung-Hak,Lee, Gang-Hwa 대한의용생체공학회 2011 의공학회지 Vol.32 No.4
This article describes a new recognition algorithm using correlation coefficient for intelligent wheelchair to avoid collision for elderly or disabled people. The correlation coefficient can be used to represent the relationship of two different areas. The algorithm has three steps: Firstly, we extract an edge vector using the Histogram of Oriented Gradients(HOG) which includes gradient information and unique magnitude for each cell. From this result, the correlation coefficients are calculated between one cell and others. Secondly, correlation coefficients are used as the weighting factors for normalizing the HOG cell. And finally, these features are used to classify or detect variable and complicated shapes of two wheelers using Adaboost algorithm. In this paper, we propose a new feature vectors which is calculated by weighted cell unit to classify with multiple view-based shapes: frontal, rear and side views($60^{\circ}$, $90^{\circ}$ and mixed angle). Our experimental results show that two wheeler detection system based on a proposed approach leads to a higher detection accuracy than the method using traditional features in a similar detection time.
오세진,염재환,노덕규,정현수,제도흥,김광동,김범국,황철준,정구영,Oh, Se-Jin,Yeom, Jae-Hwan,Roh, Duk-Gyoo,Chung, Hyun-Soo,Je, Do-Heung,Kim, Kwang-Dong,Kim, Bum-Koog,Hwang, Cheol-Jun,Jung, Gu-Young 한국천문학회 2006 天文學論叢 Vol.21 No.2
In this paper, we describe the radio astronomical data processing system implementation using Mark5B and its development. KASI(Korea Astronomy and Space Science Institute) is constructing the KVN (Korean VLBI Network) until the end of 2007, which is the first VLBI(Very Long Baseline Interferometery) facility in Korea and dedicated for the mm-wave VLBI observation. KVN will adopt the DAS (Data Acquisition System) consisting of digital filter with various function and 1Gsps high-speed sampler to digitize the radio astronomical data for analyzing on the digital filter system. And the analyzed data will be recorded to recorder up to 1Gbps data rates. To test this, we have implemented the system which is able to process 1Gbps data rates and carried out the data recording experiment.