• Title/Summary/Keyword: 마스킹 효과

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A Research on masking effect for mixing sound with white noise on human relaxation (음향효과를 위한 White noise 의 마스킹(Masking)이 이완에 미치는 영향 관한 연구)

  • Kim, Jong-Hwa;Whang, Min-Cheol;Woo, Jin-Cheol;Kim, Jong-Seo;Choi, Won-Min;Yun, Joong-Sam;Hwang, Byeong-Cheol
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.319-323
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    • 2009
  • White noise 가 혼합된 음향은 듣는 사람에게 감성 조절 효과에 대한 보고가 있다. 그러나 White noise 의 어떤 요소가 감성을 조절하는지는 명확하지 않다. 본 연구는 White noise 와 음향을 혼합할 때 마스킹(Masking) 정도에 따른 이완 감성 변화를 밝혀보고자 하였다. White noise 의 마스킹 효과를 다르게 한 2 곡의 음악을 제작하고, 20 대 남녀 40 명을 대상으로 음악을 들려주는 실험을 실시하였다. 음악 효과에 대한 반응인 자율신경계(PPG, GSR, SKT)와 중추신경계(8ch EEG)의 생리신호를 측정하고 음악을 듣기 전후의 주관적 응답을 수집하였다. 음악을 듣지 않았을 때, 원본 음향 들었을 때 그리고 White noise 혼합한 음향을 들었을 때의 반응에 대해 ANOVA(Analysis of Variance)를 실시하였다. 생리신호는 개인간 편차를 고려해 평준화(Normalization) 한 뒤 생리신호 변화 패턴에 따라 분석하였다. 결과적으로, 주관적 응답과 생리신호 모두 White noise 의 마스킹 효과를 작게한 음향에서 이완의 정도가 더 큰 것을 확인하였다. 따라서 White noise 와 원본 음향간에 마스킹 효과가 작은 음향일수록 White noise 의 혼합으로 인한 이완효과가 큰 것을 확인할 수 있었다.

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Adaptive Spectral Subtraction Method Using SNR and Masking Effect for Robust Speech Recognition in Noisy Environments (잡음환경에 강인한 음성인식을 위해 SNR과 마스킹 효과를 이용한 적응 스펙트럼 차감법)

  • 김태준;김종훈;이경모;이정현
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10b
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    • pp.580-582
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    • 2004
  • 스펙트럼 차감과정에서 발생하는 잔류 잡음을 제거하는 방법으로 파라메터를 이용하는 적응 스펙트럼 차감법이 있다. 이는 파라메터를 증가시켜 잔류 잡음을 감소시키는 방법이지만 파라메터를 과도하게 증가시킬 경우 음성 왜곡이 발생한다. 따라서, 적절한 파라메터를 추출하기 위하여 SNR이나, 마스킹 효과 등을 이용한 방법들이 제안되었으나 과도한 잡음의 제거로 인한 음성 왜곡 문제와 낮은 SNR에서 부정확한 파라메터의 추출 문제는 여전히 해결해야 할 과제로 남아있다. 본 논문은 기존의 SNR을 이용한 방법에 마스킹 효과를 적용한 수정된 적응 스펙트럼 차감법을 제안한다. 제안된 방법에서는 마스킹 임계치를 이용하여 잡음 추정값을 재 계산 항으로써 SNR을 향상시켰고, 이를 이용하여 파라메터를 추출함으로써 성능을 개선했다 성능평가 결과, 제안한 차감법을 적용한 음성신호를 고립단어 음성인식 시스템에 적용했을 때 기존의 방법 보다 인식률이 향상된 것을 확인할 수 있었다.

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Fingerprint Information Masking Algorithm By Using Multiple LBP Features (다중 LBP 피처를 이용한 지문 정보 마스킹 알고리즘)

  • Kim, Jin-Ho
    • The Journal of the Korea Contents Association
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    • v.17 no.12
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    • pp.281-288
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    • 2017
  • Financial service commission notified that fingerprint information of their documents should be deleted till 2019 to the financial industry and the public institution. Business solutions for fingerprint detection and masking in document images are introduced. In this paper, a fingerprint information masking algorithm is proposed by using the multiple LBP features to extract fingerprint's intrinsic characteristics for artificial neural network decision whether the candidate is a true fingerprint or not after segmentation of versatile fingerprint candidates from a document image. The experimental results of the proposed fingerprint masking algorithm for 3,497 document images that are saved in a financial industry show that 96.4% of fingerprint information is masked, hence this fingerprint masking algorithm can be used efficiently in real fingerprint masking tasks.

Acoustic Masking Effect That Can Be Occurred by Speech Contrast Enhancement in Hearing Aids (보청기에서 음성 대비 강조에 의해 발생할 수 있는 마스킹 현상)

  • Jeon, Y.Y.;Yang, D.G.;Bang, D.H.;Kil, S.K.;Lee, S.M.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.1 no.1
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    • pp.21-28
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    • 2007
  • In most of hearing aids, amplification algorithms are used to compensate hearing loss, noise and feedback reduction algorithms are used and to increase the perception of speeches contrast enhancement algorithms are used. However, acoustic masking effect is occurred between formants if contrast is enhanced excessively. To confirm the masking effect in speeches, the experiment are composed of 6 tests; test pure tone test, speech reception test, word recognition test, pure tone masking test, formant pure tone masking test and speech masking test, and for objective evaluation, LLR is introduced. As a result of normal hearing subjects and hearing impaired subjects, more making is occurred in hearing impaired subjects than normal hearing subjects when using pure tone, and in the speech masking test, speech reception is also lower in hearing impaired subjects than in normal hearing subjects. This means that acoustic masking effect rather than distortion influences speech perception. So it is required to check the characteristics of masking effect before wearing a hearing aid and to apply this characteristics to fitting curve.

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Main causes of missing errors during software testing

  • Young-Mi Kim;Myung-Hwan Park
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.6
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    • pp.89-100
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    • 2024
  • The primary goal of software testing is to identify and correct errors within software. A key challenge in this process is error masking, where errors disappear internally before reaching the output. This paper investigates the causes and characteristics of error masking, which complicates software testing. The study involved injecting artificial errors into three software programs to examine the extent of error masking by various test cases and to explore the underlying reasons. The experiment yielded four major findings. First, about 50% of the error masking occurred because the errors were not executed. Second, among various operators, logical and arithmetic operators masked errors less frequently, while relational and temporal operators tended to mask errors more extensively. Third, certain test cases demonstrated exceptional effectiveness in propagating errors to the output. Fourth, the type of error injected influenced the masking effect.

A Study of Acoustic Masking Effect from Formant Enhancement in Digital Hearing Aid (디지털 보청기에서의 포먼트 강조에 의한 마스킹 효과 연구)

  • Jeon, Yu-Yong;Kil, Se-Kee;Yoon, Kwang-Sub;Lee, Sang-Min
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.45 no.5
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    • pp.13-20
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    • 2008
  • Although digital hearing aid algorithms have been developed to compensate hearing loss and to help hearing impaired people to communicate with others, digital hearing aid user still complain about difficulty of hearing the speech. The reason could be the quality of speech through digital hearing aid is insufficient to understand the speech caused by feedback, residual noise and etc. And another thing is masking effect among formants that makes sound quality low. In this study, we measured the masking characteristics of normal listeners and hearing impaired listeners having presbyacusis to confirm masking effect in speech itself. The experiment is composed of 5 tests; pure tone test, speech reception threshold (SRT) test, word recognition score (WRS) test, puretone masking test and speech masking test. In speech masking test, there are 25 speeches in each speech set. And log likelihood ratio (LLR) is introduced to evaluate the distortion of each speech objectively. As a result, the speech perception became lower by increasing the quantity of formant enhancement. And each enhanced speech in a speech set has statistically similar LLR, however speech perception is not. It means that acoustic masking effect rather than distortion influences speech perception. In actuality, according to the result of frequency analysis of the speech that people can not answer correctly, level difference between first formant and second formant is about 35dB, and it is similar to result of pure tone masking test(normal hearing subject:36.36dB, hearing impaired subject:32.86dB). Characteristics of masking effect is not similar between normal listeners and hearing impaired listeners. So it is required to check the characteristics of masking effect before wearing a hearing aid and to apply this characteristics to fitting.

가청저주파음에 대한 볼락의 청각임계비와 능력지수

  • 이창헌;김고환;김용주;서두옥
    • Proceedings of the Korean Society of Fisheries Technology Conference
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    • 2000.10a
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    • pp.52-53
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    • 2000
  • 실제로 어류는 자연 발생적인 잡음과 인위적 잡음이 혼재하는 환경에서 서식하기 때문에 어류의 청각은 수중에서 발생하는 주위의 잡음에 의해서 영향을 받으며 잡음이 클 경우는 작은 음이 듣기 어렵게 되는 마스킹 현상이 발생하게 된다. 따라서 수중에는 각각의 요인에 의해서 발생하는 매경 잡음들이 항시 혼합되어 있고, 그 음압의 레벨도 변동하기 때문에 수중음을 이용하여 어류를 유집하고 어획하기 위해서는 대상 어종에 의한 청각문턱치뿐만 아니라 배경 잡음에 의한 마스킹 효과를 충분히 조사하는 것이 중요하다.(중략)

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Adaptive image contrast enhancement algorithm based on block approach (블럭방법에 근거한 영상의 적응적 대비증폭 알고리즘)

  • Kim, Yeong-Hwa
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.3
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    • pp.371-380
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    • 2011
  • The noise caused by a variety of reasons worsens the quality of input image when we use the images reproducing device. The basic difficulty to solve this problem is that the noise and the signal are difficult to be distinguished. Contrast enhancement such as unsharp masking is one of the most important procedures to improve the quality of input images. The conventional unsharp masking enhances the images by adding their amplified high frequency components. The noise component of the input images, however, also tends to be amplified due to the nature of the unsharp masking. This paper considers the block approach for detecting niose and image feature of the input image so that the unsharp masking could be adaptively applied accordingly. Simulation results show that it is made possible to enhance contrast of the image without boosting up the noisy components by applying the proposed algorithm.

A Study on Threshold of Hearing of Sun shade Motor Sound Using Masking Effect (마스킹 효과를 이용한 선셰이드 모터음의 최소가청치 특성에 관한 연구)

  • Jo, Hyeonho;Seong, Wonchan;Kim, Seonghyeon;Park, Dongchul;Kang, Yeonjune
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2013.04a
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    • pp.116-121
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    • 2013
  • Panaroma Sun roof's sun shade motor elicits two major sounds when operating: the tonal sound and the white noises. Generally, the sound related to the sharpness contributes the most to the quality of motors' tonal sound. The primary purpose of this study was to set the loudness of the motor's objective tonal sound utilizing the masking effect by its white noises. To conduct this study, the sound made by the operating sun shade motor was categorized into two different subsets of masker and test tone to examine the masking threshold. Also, the shifts of masking threshold were observed with the varying masker loudness.

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Voxel-based Investigations of Phase Mask Effects on Susceptibility Weighted Images (화소 간 분석을 이용하여 자화율 가중 영상(SWI)에 나타난 위상 마스킹의 효과 분석)

  • Hwang, Eo-Jin;Kim, Min-Ji;Kim, Hyug-Gi;Ryu, Chang-Woo;Jahng, Geon-Ho
    • Progress in Medical Physics
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    • v.24 no.1
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    • pp.25-34
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    • 2013
  • To investigate effects of phase mask on susceptibility-weighted images (SWI) using voxel-based analyses in normal elderly subjects. A three-dimensional (3D) gradient echo sequence ran to obtain SWIs in 20 healthy elderly subjects. SWIs with two (SWI2) and four (SWI4) phase multiplications were achieved with positive (PSWI) and negative (NSWI) phase masks to investigate phase mask effects. The voxel-based comparisons were performed using paired t-tests between PSWI and NSWI and between SWI2 and SWI4. Differences of signal intensities between magnitude images and SWI4 were larger than those between magnitude images and SWI2s. Differences of signal intensities between magnitude images and PSWIs were larger than those between magnitude images and NSWIs. Moreover, the signal intensities from NSWI2s and NSWI4s were greater than those from PSWI2s and PSWI4s, respectively. More differences of signal intensities between NSWI4 and PSWI4s were found than those between NSWI2s and PSWI2s in the whole brain images. The voxel-based analyses of SWI could be beneficial to investigate susceptibility differences on the entire brain areas. The phase masking method could be chosen to enhance brain tissue contrast rather than to enhance venous blood vessels. Therefore, it is recommended to apply voxel-based analyses of SWI to investigate clinical applications.