• Title/Summary/Keyword: spectral distance

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Content-based Music Information Retrieval using Pitch Histogram (Pitch 히스토그램을 이용한 내용기반 음악 정보 검색)

  • 박만수;박철의;김회린;강경옥
    • Journal of Broadcast Engineering
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    • v.9 no.1
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    • pp.2-7
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    • 2004
  • In this paper, we proposed the content-based music information retrieval technique using some MPEG-7 low-level descriptors. Especially, pitch information and timbral features can be applied in music genre classification, music retrieval, or QBH(Query By Humming) because these can be modeling the stochasticpattern or timbral information of music signal. In this work, we restricted the music domain as O.S.T of movie or soap opera to apply broadcasting system. That is, the user can retrievalthe information of the unknown music using only an audio clip with a few seconds extracted from video content when background music sound greeted user's ear. We proposed the audio feature set organized by MPEG-7 descriptors and distance function by vector distance or ratio computation. Thus, we observed that the feature set organized by pitch information is superior to timbral spectral feature set and IFCR(Intra-Feature Component Ratio) is better than ED(Euclidean Distance) as a vector distance function. To evaluate music recognition, k-NN is used as a classifier

SPECTRAL METHOD FOR RECONSTRUCTING PHYLOGENETIC TREE

  • Paeng, Seong-Hun;Park, Chunjae
    • Communications of the Korean Mathematical Society
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    • v.34 no.3
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    • pp.1005-1014
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    • 2019
  • A new simple method is proposed for reconstructing phylogenetic trees, which we call the spectral method. The most common distance based method is the neighbor-joining method which is based on the minimum evolution principle. The spectral method shows similar performance to the neighbor-joining method for simulated data generated by seq-gen. For real data, the spectral method shows much better performance than the neighbor-joining method. Hence it can be a complementary method for reconstructing phylogenetic trees.

A New One Terminal Numerical Algorithm for Adaptive Autoreclosure and Fault Distance Calculation (적응 자동 재폐로 및 고장거리 산정을 위한 새로운 1단자 알고리즘)

  • Zoran Radojevic;Joong-Rin Shin
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.53 no.8
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    • pp.438-445
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    • 2004
  • This paper presents a new numerical spectral domain algorithm devoted to blocking unsuccessful automatic reclosing onto permanent faults and fault distance calculation. Arc voltage amplitude and fault distance are calculated from the fundamental and third harmonics of the terminal voltages and currents phasors. From the calculated arc voltage amplitude it can be concluded if the fault is transient arcing fault or permanent arcless fault. If the fault is permanent automatic reclosure should be blocked. The algorithm can be applied for adaptive autoreclosure, distance protection, and fault location. The results of algorithm testing through computer simulation and real field record are given.

Magnifying Block Diagonal Structure for Spectral Clustering (스펙트럼 군집화에서 블록 대각 형태의 유사도 행렬 구성)

  • Heo, Gyeong-Yong;Kim, Kwang-Baek;Woo, Young-Woon
    • Journal of Korea Multimedia Society
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    • v.11 no.9
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    • pp.1302-1309
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    • 2008
  • Traditional clustering methods, like k-means or fuzzy clustering, are prototype-based methods which are applicable only to convex clusters. On the other hand, spectral clustering tries to find clusters only using local similarity information. Its ability to handle concave clusters has gained the popularity recent years together with support vector machine (SVM) which is a kernel-based classification method. However, as is in SVM, the kernel width plays an important role and has a great impact on the result. Several methods are proposed to decide it automatically, it is still determined based on heuristics. In this paper, we proposed an adaptive method deciding the kernel width based on distance histogram. The proposed method is motivated by the fact that the affinity matrix should be formed into a block diagonal matrix to generate the best result. We use the tradition Euclidean distance together with the random walk distance, which make it possible to form a more apparent block diagonal affinity matrix. Experimental results show that the proposed method generates more clear block structured affinity matrix than the existing one does.

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ON IMPROVING THE PERFORMANCE OF CODED SPECTRAL PARAMETERS FOR SPEECH RECOGNITION

  • Choi, Seung-Ho;Kim, Hong-Kook;Lee, Hwang-Soo
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1998.08a
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    • pp.250-253
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    • 1998
  • In digital communicatioin networks, speech recognition systems conventionally reconstruct speech followed by extracting feature [parameters. In this paper, we consider a useful approach by incorporating speech coding parameters into the speech recognizer. Most speech coders employed in the networks represent line spectral pairs as spectral parameters. In order to improve the recognition performance of the LSP-based speech recognizer, we introduce two different ways: one is to devise weighed distance measures of LSPs and the other is to transform LSPs into a new feature set, named a pseudo-cepstrum. Experiments on speaker-independent connected-digit recognition showed that the weighted distance measures significantly improved the recognition accuracy than the unweighted one of LSPs. Especially we could obtain more improved performance by using PCEP. Compared to the conventional methods employing mel-frequency cepstral coefficients, the proposed methods achieved higher performance in recognition accuracies.

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Discrimination of Natural Earthquakes and Explosions in Spectral Domain (주파수 영역에서의 인공지진과 자연지진의 식별)

  • 김성균;김명수
    • Economic and Environmental Geology
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    • v.36 no.3
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    • pp.201-212
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    • 2003
  • Recently, the ability of earthquake detection in the Kyungsang Basin of southeastern Korean Peninsula is greatly improved since seismic stations including seismic network of KIGAM(Korea Institute of Geoscience and Mineral Resources) have been significantly increased. However, a large number of signals from explosions are recorded because of frequent medium to large chemical explosions. The discrimination between natural earthquakes and explosions in the Basin has become an important issue. High frequency local records from 43 earthquakes and 43 explosions with comparable magnitude are selected to establish a reliable discrimination technique in the Basin. Several discrimination techniques in spectral domain using spectral amplitude ratios among Pg, Sg, and Lg waves are widely examined with tile selected data. Among them the Pg/Lg spectral ratio method is appeared to be a good discrimination technique to improve the discrimination power. Multivariate discriminant analysis is also applied to the Pg/Lg spectral ratios. The discrimination power of the Pg/Lg ratios for distance corrected three component record compared to uncorrected vertical component one shows distinct improvement. In the frequency band 4 to 14 Hz, Pg/Lg spectral ratio for distance corrected three component record provides discrimination power with a total misclassification probability of only 0.89%.

Performance Comparison for Objective Measures of Speech Quality Evaluation in PCS Wireless Telephone Network (PCS 이동전화망에서의 객관적인 음질평가척도별 성능비교)

  • Kim Nag-Cheol;Kim Kwang-Soo;Jung Ho-Youl;Chung Hyun-Yeol
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.48-51
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    • 1999
  • 본 연구에서는 PCS 이동전화의 객관적 통화품질평가 척도개발을 위한 기초연구로 기존의 CD(Cepstral Distance), MSD (Mel Spectral Distance), BSD(Bark Spectral Distance), PSQM (Perceptual Speech Quality Measure) 척도를 적용하여 그 성능을 비교 분석하였다. 이 척도들을 실제환경에서 수집된 PCS 음성데이터에 대해서 적용하였고 이 결과치와 청취자들의 평가 반응에 의해 얻어진 MOS 결과치와의 상관성을 조사하였다. 실험 결과, BSD와 PSQM 척도의 상관성이 0.81, 0.84로 나타나 CD, MSD보다 성능이 더 우수함을 보였다.

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Performance Comparison of Objective Measures for Speech Quality for Evaluation in CDMA Mobile Telephone (CDMA 이동전화 통화품질평가를 위한 객관적 음질평가척도별 성능 비교)

  • 이준희;김광수;윤정오
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2001.05a
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    • pp.256-260
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    • 2001
  • 본 논문에서는 디지털 이동전화(CDMA) 채널환경을 통과한 왜곡된 전화음성에 대해 객관적 음질평가 척도의 개발을 위한 기초 연구로서 기존의 CD(Cepstral Distance), MSD(Mel Spectral Distance), BSD(Bark Spectral Distance), Modified BSD, PSQM(Perceptual Speech Quality Measure)를 대상으로 객관척도 알고리즘을 성능평가 하였다. 이 척도들은 실제 이동전화 환경에서 수집된 PCS 음성데이터에 대해서 적용하였으며 이 결과치를 주관적 음질평가 방법인 MU와 상관성을 비교 조사하였다. 실험 결과, BSD와 MBSD, 그리고 PSQM 척도의 상관성이 각각 0.80, 0.85, 0.84로 나타났으며 CD, MSD 보다 성능이 상대적으로 더 우수함을 보였다.

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High-Reliable Classification of Multiple Induction Motor Faults Using Vibration Signatures based on an EM Algorithm (EM 알고리즘 기반 강인한 진동 특징을 이용한 고 신뢰성 유도 전동기 다중 결함 분류)

  • Jang, Won-Chul;Kang, Myeongsu;Choi, Byeong-Keun;Kim, Jong-Myon
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2013.10a
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    • pp.346-353
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    • 2013
  • Industrial processes need to be monitored in real-time based on the input-output data observed during their operation. Abnormalities in an induction motor should be detected early in order to avoid costly breakdowns. To early identify induction motor faults, this paper effectively estimates spectral envelopes of each induction motor fault by utilizing a linear prediction coding (LPC) analysis technique and an expectation maximization (EM) algorithm. Moreover, this paper classifies induction motor faults into their corresponding categories by calculating Mahalanobis distance using the estimated spectral envelopes and finding the minimum distance. Experimental results shows that the proposed approach yields higher classification accuracies than the state-of-the-art approach for both noiseless and noisy environments for identifying the induction motor faults.

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Distance Dependency of Corner Frequencies for Earthquakes in and around the Korean Peninsula (한반도 및 주변지역 지진 모서리 주파수의 거리 종속성)

  • Shin, Jin Soo;Kang, Tae-Seob
    • Journal of the Earthquake Engineering Society of Korea
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    • v.12 no.5
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    • pp.39-45
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    • 2008
  • The source parameters of 85 events ($1.6\;{\leq}\;M_L\;{\leq}\;4.9$) that occurred in and around the Korean Peninsula during 2006 and 2007 were analyzed by an iterative spectral fitting procedure. The data set consists of 487 S-wave trains on three-component seismograms recorded at broadband seismograph stations in the southern part of the Korean Peninsula. Moment magnitudes for each event were determined using spectral analyses of the seismograms, and the results were compared with the variation in corner frequencies with hypocentral distance. Corner frequencies have a tendency to decrease with increases in hypocentral distance, and the decrease is smaller the larger the moment magnitude. We define the measured corner frequency on a displacement spectrum as the apparent corner frequency. Although it was reported that the distance dependency of the corner frequency was found in some regions, such as the eastern Canadian Shield and the Baltic Shield, the origin of the phenomenon is not certain yet.