• Title/Summary/Keyword: Feature compensation

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Compensation in VC and Word

  • Yun, Il-Sung
    • Phonetics and Speech Sciences
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    • v.2 no.3
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    • pp.81-89
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    • 2010
  • Korean and three other languages (English, Arabic, and Japanese) were compared with regard to the compensatory movements in a VC (Vowel and Consonant) sequence and word. For this, Korean data were collected from an experiment and the other languages' data from literature. All the test words of the languages had the same syllabic contexture, i.e., /CVCV(r)/, where C was an oral stop and intervocalic consonants were either bilabial or alveolar stops. The present study found that (1) Korean is most striking in the durational variations of segments (vowel and the following hetero-syllabic consonant); (2) unlike the three languages that show a constant sum of VC, Korean yields a three-way distinction in the length of VC according the type (lax unaspirated vs. tense unaspirated vs. tense aspirated) of the following stop consonant; (3) a durational constancy is maintained up to the word level in the three languages, but Korean word duration varies as a function of the feature tenseness of the intervocalic consonants; (4) consonant duration is proven to differentiate Korean the most from the other languages. It is suggested that the durational difference between a lax consonant and its tense cognate(s) and the degree of compensation between V and C are determined by the phonology in each language.

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Lattice-Based Background Motion Compensation for Detection of Moving Objects with a Single Moving Camera (이동하는 단안 카메라 환경에서 이동물체 검출을 위한 격자 기반 배경 움직임 보상방법)

  • Myung, Yunseok;Kim, Gyeonghwan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.1
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    • pp.52-54
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    • 2015
  • In this paper we propose a new background motion compensation method which can be applicable to moving object detection with a moving monocular camera. To estimate the background motion, a series of image warpings are carried out for each pair of the corresponding patches, defined by the fixed-size lattice, based on the motion information extracted from the feature points surrounded by the patches and the estimated camera motion. Experiment results proved that the proposed has approximately 50% faster in execution time and 8dB higher in PSNR comparing to a conventional method.

Digital Hearing Aid Fitting Program Testing System Development (디지털 보청기 적합 검증을 위한 전기음향 시험장치 개발)

  • Jarng, Soon-Suck;Kwon, You-Jung;Lee, Je-Hyung
    • Proceedings of the IEEK Conference
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    • 2005.11a
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    • pp.415-418
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    • 2005
  • DSP chip parameters of a digital hearing aid (HA) should be optimally selected or fitted for hearing impaired persons. The more precise parameter fitting guarantees the better compensation of the hearing loss (HL). Digital HAs adopt DSP chips for more precise fitting of various HL threshold curve patterns. A specific DSP chip such as Gennum GB3211 was designed and manufactured in order to match up to about 4.7 billion different possible HL cases with combination of 7 limited parameters. This paper deals with a digital HA fitting program which is developed for optimal fitting of GB3211 DSP chip parameters. The fitting program has completed feature from audiogram input to DSP chip interface. The compensation effects of the microphone and the receiver are also included. The paper shows some application examples.

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A study on localization and compensation of mobile robot using fusion of vision and ultrasound (영상 및 거리정보 융합을 이용한 이동로봇의 위치 인식 및 오차 보정에 관한 연구)

  • Jang, Cheol-Woong;Jung, Ki-Ho;Jung, Dae-Sub;Ryu, Je-Goon;Shim, Jae-Hong;Lee, Eung-Hyuk
    • Proceedings of the KIEE Conference
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    • 2006.10c
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    • pp.554-556
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    • 2006
  • A key component for autonomous mobile robot is to localize ifself. In this paper we suggest a vision-based localization and compensation of robot's location using ultrasound. Mobile robot travels along wall and searches each feature in indoor environment and transformed absolute coordinates of actuality environment using these points and builds a map. And we obtain information of the environment because mobile robot travels along wall. Localzation search robot's location candidate point by ultrasound and decide position among candidate point by features matching.

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Force Reflection Control with a Speed Saturation Compensation Scheme for Telemanipulators (원격조작기의 속도포화 보상 힘반영 제어)

  • Ahn, Sung-Ho;Yoon, Ji-Sup;Lee, Sang-Jeong
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.10
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    • pp.894-902
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    • 2000
  • This paper proposes a force reflection control method with a speed saturation compensation scheme for the slave manipulators having a speed saturation due to the high reduction ratio joints. When speed saturation is generated, the proposed force reflection control method not only shows an anti-windup feature in controlling the slave manipulator but also makes the master manipulator move slowly using the force reflection caused by saturation. In this way, the position of the slave manipulator tracks the reference position regardless of speed saturation. The experimental results show that the proposed control method provides excellent performance.

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Design of Fuzzy Controller for Vision-based Arm Robot (비전기반 암 로봇의 퍼지제어기 설계)

  • Shin, Hwa-Young;Kim, Young-Joong;Lim, Myo-Taeg
    • Proceedings of the KIEE Conference
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    • 2002.11c
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    • pp.485-488
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    • 2002
  • In this paper, fuzzy logic controllers are designed for compensation of distance errors. Because we can't know information of the depth in a mono camera, these errors are occurred. Also, they are increased as a target object is to keep away from a center of image. Therefore, the errors for each position of joints of an arm robot should be modeled, but accurate models can't be obtained because of no information of the depth, uncertain feature points of image, parameter uncertainties, and illumination. Hence, fuzzy logic controllers for each error are designed for compensation. This paper consists of color image processing, error modeling, and the controller design. Experimental results are given to verify the effectiveness of our proposed method.

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Motion Compensated Subband Video Coding with Arbitrarily Shaped Region Adaptivity

  • Kwon, Oh-Jin;Choi, Seok-Rim
    • ETRI Journal
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    • v.23 no.4
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    • pp.190-198
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    • 2001
  • The performance of Motion Compensated Discrete Cosine Transform (MC-DCT) video coding is improved by using the region adaptive subband image coding [18]. On the assumption that the video is acquired from the camera on a moving platform and the distance between the camera and the scene is large enough, both the motion of camera and the motion of moving objects in a frame are compensated. For the compensation of camera motion, a feature matching algorithm is employed. Several feature points extracted using a Sobel operator are used to compensate the camera motion of translation, rotation, and zoom. The illumination change between frames is also compensated. Motion compensated frame differences are divided into three regions called stationary background, moving objects, and newly emerging areas each of which is arbitrarily shaped. Different quantizers are used for different regions. Compared to the conventional MC-DCT video coding using block matching algorithm, our video coding scheme shows about 1.0-dB improvements on average for the experimental video samples.

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Representation of MFCC Feature Based on Linlog Function for Robust Speech Recognition (강인한 음성 인식을 위한 선형 로그 함수 기반의 MFCC 특징 표현 연구)

  • Yun, Young-Sun
    • MALSORI
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    • no.59
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    • pp.13-25
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    • 2006
  • In previous study, the linlog(linear log) RASTA(J-RASTA) approach based on PLP was proposed to deal with both the channel effect and the additive noise. The extraction of PLP required generally more steps and computation than the extraction of widely used MFCC. Thus, in this paper, we apply the linlog function to the MFCC for investigating the possibility of simple compensation method that removes both distortion. With the experimental results, the proposed method shows the similar tendency to the linlog RASTA-PLP_ When the J value is set to le-6, the best ERR(Error Reduction Rate) of 33% is obtained. For applying the linlog function to the feature extraction process, the J value plays a very important role in compensating the corruption. Thus, the study for the adaptive J or noise dependent J estimation is further required.

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A Distance Estimation Method of Object′s Motion by Tracking Field Features and A Quantitative Evaluation of The Estimation Accuracy (배경의 특징 추적을 이용한 물체의 이동 거리 추정 및 정확도 평가)

  • 이종현;남시욱;이재철;김재희
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.621-624
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    • 1999
  • This paper describes a distance estimation method of object's motion in soccer image sequence by tracking field features. And we quantitatively evaluate the estimation accuracy We suppose that the input image sequence is taken with a camera on static axis and includes only zooming and panning transformation between frames. Adaptive template matching is adopted for non-rigid object tracking. For background compensation, feature templates selected from reference frame image are matched in following frames and the matched feature point pairs are used in computing Affine motion parameters. A perspective displacement field model is used for estimating the real distance between two position on Input Image. To quantitatively evaluate the accuracy of the estimation, we synthesized a 3 dimensional virtual stadium with graphic tools and experimented on the synthesized 2 dimensional image sequences. The experiment shows that the average of the error between the actual moving distance and the estimated distance is 1.84%.

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A Feature Analysis of the Power Quality Problem by PCA (PCA를 이용한 전력품질 특징분석)

  • Lee, Jin-Mok;Hong, Duc-Pyo;Kim, Soo-Cheol;Choi, Jae-Ho;Hong, Hyun-Mun
    • Proceedings of the KIPE Conference
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    • 2005.07a
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    • pp.192-194
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    • 2005
  • Development of nonlinear loads and compensation instruments make PQ(Power Quality) problem into important issue. Few studies by signal processing and pattern classification as NN(Neural Network), Wavelet Transform, and Fuzzy present feature extraction. A lot of Input features make not always good result and they are difficult to make realtime system. Thus, The dimentionality reduction is indispensable process. PCA(Principal Component Analysis) reduces high-dimensional input features onto a lower-dimensional subspace effectively. It will be useful to apply to realtime system and NN.

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