• Title/Summary/Keyword: Subtraction method

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Harmonics-based Spectral Subtraction and Feature Vector Normalization for Robust Speech Recognition

  • Beh, Joung-Hoon;Lee, Heung-Kyu;Kwon, Oh-Il;Ko, Han-Seok
    • Speech Sciences
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    • v.11 no.1
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    • pp.7-20
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    • 2004
  • In this paper, we propose a two-step noise compensation algorithm in feature extraction for achieving robust speech recognition. The proposed method frees us from requiring a priori information on noisy environments and is simple to implement. First, in frequency domain, the Harmonics-based Spectral Subtraction (HSS) is applied so that it reduces the additive background noise and makes the shape of harmonics in speech spectrum more pronounced. We then apply a judiciously weighted variance Feature Vector Normalization (FVN) to compensate for both the channel distortion and additive noise. The weighted variance FVN compensates for the variance mismatch in both the speech and the non-speech regions respectively. Representative performance evaluation using Aurora 2 database shows that the proposed method yields 27.18% relative improvement in accuracy under a multi-noise training task and 57.94% relative improvement under a clean training task.

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The efficiency of subtraction technique in a nonequilibrium molecular dynamics simulation of a simple liquid shear flow (단순액체의 층밀리기 흐름에 대한 비평형 분자동력학 계산에서 공제방법의 효과)

  • 안성청
    • Journal of the Korea Society for Simulation
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    • v.6 no.1
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    • pp.53-60
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    • 1997
  • Results from a nonequilibrium molecular dynamics (NEMD) simulation are presented for an argon liquid subject to a shear flow. The segmented molecular dynamics method and the subtraction technique used in NEMD program to reduce the thermal fluctuation noise in data are studied with different shear rates. The standard deviation in the shear stress reduced from 0.030 to 0.004 by the segmented molecular dynamics method for 50 repeated segments. On the other hand, the standard deviation of the data remained the same when the subtraction technique was applied, where as the results of shear stress by constant value in a random way.

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Music Generation from Motion of Fish based on Running Averaging Background Subtraction Method (이동평균 배경제거 기반의 물고기 모션 검출을 통한 음악 생성)

  • Yap, Wah-Seng;Cho, Dong-Chan;Kim, Whoi-Yul
    • Proceedings of the Korea Contents Association Conference
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    • 2011.05a
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    • pp.415-416
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    • 2011
  • This paper describes about a technique of generating music from the natural motion of fish which are detected via the running averaging background subtraction method. The motion of the fish will create musical notes on a background frame which will be analyzed and played by a music playing module that is proposed in this paper called "PhysicX". This module is also capable of interacting with the fishes. in the tank.

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Speech Recognition through Speech Enhancement (음질 개선을 통한 음성의 인식)

  • Cho, Jun-Hee;Lee, Kee-Seong
    • Proceedings of the KIEE Conference
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    • 2003.11c
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    • pp.511-514
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    • 2003
  • The human being uses speech signals to exchange information. When background noise is present, speech recognizers experience performance degradations. Speech recognition through speech enhancement in the noisy environment was studied. Histogram method as a reliable noise estimation approach for spectral subtraction was introduced using MFCC method. The experiment results show the effectiveness of the proposed algorithm.

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Specific DNA fragment analysis of Salmonella pullorum and S gallinarum by subtraction PCR (RDA method(Subtraction PCR) 기법을 이용한 닭의 Salmonella pullorum과 S gallinarum의 specific DNA fragment 분리 연구)

  • Park Jae-Myoung;Lee Jong-Jin;Choi Hae-Yeon;Jo Woo-Yeong;Lee Kyung-Hyeon;Song Jae-Chan
    • Korean Journal of Veterinary Service
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    • v.28 no.1
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    • pp.1-21
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    • 2005
  • Pullorum disease and Fowl typhoid are kind of poultry specific disease for poultry. The peculiar character of these poultry specific diseases is that it can be infected by transmitting vertically and horizontally, also it is hard to be discovered by clinical sign, and pathology or immunology. So, to develop the PCR method which distinguishes these two genetically similar diseases of separated the specific DNA fragment from each strain and use it for differential diagnosis by subtraction PCR method. Standard strain of S gallinarum and S pullorum, and field isolation strain were verified by biochemistry, It confirmed existence of plasmid by using the PFGE. Then, Isolated DNA from it and used it as materials for the experiment. After cutting genomic DNA of two strains by using Sau 3Al, It ligated primer to tester DNA for PCR amplification and separated specific DNA fragment bacteria with method of subtraction PCR. And, It confirmed that it is a piece of unique DNA in every bacteria using base sequence of separated DNA fragment. 1. The six specific DNA fragment were separated from the DNA of S gallinarum and S pullorum by the subtraction PCR method. 2. In the result of comparison after setting base sequence of each fragment, each separated base sequence of DNA fragment they did not correspond to each other 3. As the result of each DNA fragment is derived from the each strain of DNA, and there was no homology of genomic DNA level in mutual. 4. The fragment originated in plasmid and includes S pullorum did not separate. 5. In the result of searching base sequence in Genebank, it partially shows homology in Salmonella enterica, S typhimurium, S dublin, Escherichia coli, Shigella flexneri, Yersinia pestis, Klebsiella pneumoniae. 6. Primer design by S gallinarum DNA 2, 3 fragment used PCR, They are positive reaction in only S gallinarum at 276, 367 bp position.

Periondontal Disease Detection in Dental Radiography by ROI segment (관심영역을 이용한 치과용 방사선 영상에서의 자연치아 주위 미세변화 검출에 관한 연구)

  • 안용학;이정헌;채옥삼
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.6
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    • pp.73-80
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    • 2004
  • In this paper, we propose a medical image processing method for detection of periodontal disease. The proposed method is the method of an automatic image alignment and detection of minute changes, to overcome defects in the conventional subtraction radiography by digital image processing technique, that is necessary for getting subtraction image and ROI(Region of Interest) focused on a selection method using the structured features in target images. And the method services accuracy, consistency and objective information or data to results. In result, easily and visually we can identify minute differences in the affected parts whether they have problems or not, and using application system.

Speech Enhancement Using Multiresolutional Signal Analysis Methods (다해상도 신호해석 방법을 이용한 음성개선)

  • Seok, Jong-Won;Han, Mi-Kyung;Bae, Keun-Sung
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.7
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    • pp.134-135
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    • 1999
  • This paper presents a speech enhancement method with spectral subtraction using wavelet, wavelet packet and cosine packet transforms which are known as multiresolutional signal analysis method. The performance of each method is compared with the conventional spectral subtraction method. Performance assessments based on average SNR, cepstral distance and informal subjective listening test are carried out. Experimental result demonstrate that cosine packet shows the best result in objective performance measure as well as subjective shows less musical noise than the conventional spectral subtraction method after removing the noise components.

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Moving Object Detection using Gaussian Pyramid based Subtraction Images in Road Video Sequences (가우시안 피라미드 기반 차영상을 이용한 도로영상에서의 이동물체검출)

  • Kim, Dong-Keun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.12
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    • pp.5856-5864
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    • 2011
  • In this paper, we propose a moving object detection method in road video sequences acquired from a stationary camera. Our proposed method is based on the background subtraction method using Gaussian pyramids in both the background images and input video frames. It is more effective than pixel based subtraction approaches to reduce false detections which come from the mis-registration between current frames and the background image. And to determine a threshold value automatically in subtracted images, we calculate the threshold value using Otsu's method in each frame and then apply a scalar Kalman filtering to the threshold value. Experimental results show that the proposed method effectively detects moving objects in road video images.

A Note on Teaching Method of Addition and Subtraction between Korea and New Zealand Primary School (한국과 뉴질랜드 초등학교 저학년의 덧셈과 뺄셈 지도방법에 관한 고찰)

  • Choi, Chang Woo
    • East Asian mathematical journal
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    • v.31 no.4
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    • pp.505-525
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    • 2015
  • The purpose of this study is to analyze teaching method of addition and subtraction of whole number in Korea and New Zealand lower grade textbook and to get some suggestive points to develop mathematics curriculum and for a qualitative improvement of textbook. To do this, we will analyze focusing on teaching material, type and method of teaching, cases of real teaching and in the case of New Zealand, we will analyze portfolios together to see what kind of things do they deal with related to addition and subtraction. From these analyzing, the results are as follows: First, the guideline of accomplishment of group of year are stated in 2009 revised curriculum in Korea but it is rough. On the other hand, the level of accomplishment from kindergarten to high school are stated divided by eight kinds of thing in New Zealand curriculum. Second, there were common and different points in the aspect of teaching material. The common points are that both of our Korea and New Zealand are using materials related to real life intimately and the diifferent points are to use technology such as calculator and computer. They are more widely used in New Zealand than our Korea. Third, Korea had used routine method mainly but New Zealand had used method to develop creativity of learner such as to write problem corresponding to expression, posing problem corresponding to information, to complete table and find pattern and to write word problem to explain pattern and so on. Fourth, we could see special calculation strategies in the case of teaching addition and subtraction such as concept of double, compensation, various strategy based on counting of number, addition of the same number, magic square, near-double which are not finding in our mathematics textbook. Fifth, in the New Zealand textbook they had used teaching methods inducing curiosity of learner such as finding message and puzzle problem than solving given problem simply.

Automatic Registration of Images for Digital Subtraction Radiography Using Local Correlation (국소적 상관계수를 이용한 자동적 디지털 방사선 영상정합)

  • 이원진;허민석;이삼선;최순철;이재성
    • Journal of Biomedical Engineering Research
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    • v.25 no.2
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    • pp.111-117
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    • 2004
  • Most of digital subtraction methods in dental radiography are based on registration using manual landmarks. We have developed an automatic registration method without using the manual selection of landmarks. By restricting a geometrical matching of images to a region of interest (ROl), we compare the cross-correlation coefficient only between the ROIs. The affine or perspective transform parameters satisfying maximum of cross-correlation between the local regions are searched iteratively by a fast searching strategy. The parameters are searched on the 1/4 scale image coarsely and then, the fine registration is performed on the original scale image. The developed method can match the images corrupted by Gaussian noise with the same accuracy for the images without any transform simulation. The registration accuracy of the perspective method shows a 17% improvement over the manual method. The application of the developed method to radiography of dental implants provides an automatic noise robust registration with high accuracy in almost real time.