• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2004년도 춘계학술대회논문집
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• pp.774-779
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• 2004

This paper addresses the way in which we can find where impact noise sources are. Specifically, we have an interest in the case that the signal is embedded in noise. We propose a signal processing method that can identify impulsive sources’location. The method is robust with respect to noise; spatially distributed noise. This has been achieved by a beamforming method with regard to cepstrum domain is used. It is noteworthy that the cepstrum has the ability to detect periodic pulse signal in noise. Numerical simulation and experiments are performed to verify the method. Results show that the proposed technique is quite powerful for localizing the faults in noisy environments. The method also required less microphones than conventional beamforming method.

• International Journal of Precision Engineering and Manufacturing
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• 제8권3호
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• pp.45-49
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• 2007

A gearing system emits inconsistent noises from the impact of gear teeth when defects are present, but it is not easy for a noise inspector on a production line to distinguish defective products objectively. Since customers constantly complain about various noises from geared motors, it is desirable to devise an analytical technique to classify motors. However, it is difficult to separate inconsistent noises due to defective gears from the overall noise produced by a geared motor using a general signal processing method such as a FFT because low frequency impulse signals have a tendency not to appear in the frequency domain. In this paper, we propose a method that can be used to obtain more objective estimates and measurements of inconsistent noises from a gearing system. The proposed method makes use of the cepstrum domain with an applied autocorrelation and comb lifter, followed by a domain inversion.

• 한국소음진동공학회논문집
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• 제14권9호
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• pp.877-883
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• 2004

This paper addresses the way in which we can find where impulsive noise sources are. Specifically, we have an interest in the case that the signal is embedded in noise. We propose a signal processing method that can identify impulsive sources' location. The method is robust with respect to spatially distributed noise. This has been achieved by the modified beamforming method with regard to cepstrum domain is used. It is noteworthy that the cepstrum has the ability to detect periodic pulse signal in noise. Numerical simulation and experiments are performed to verify the method. Results show that the proposed technique is quite powerful for localizing the faults in noisy environments. The method also required less microphones than conventional beamforming method.

• 한국음향학회지
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• 제7권4호
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• pp.77-85
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• 1988

各種의 Conditioning Monitoring 技術이 硏究되고 있는데 本 硏究에서는 Cepstrum 解析法에 Adaptive Noise Cancelling (ANC) 법을 利用하여 回轉機械要素의 하나인 베어링의 缺陷을 管理하는 手段으로써의 可能性을 檢討하였으며 ANC의 物理的 意味를 正確히 把握하고자 컴퓨터 시뮬레이션을 行하였다. 컴퓨터 시뮬레이션에 衣해 Adaptive filter 에서의 最適한 適應利得을 推定하였으며 信號對雜音比에 따른 ANC의 性能과 LMS알고리즘의 收劍性을 考察하였다. 또한 ANC法을 Cepstrum 解析法에 利用한 베어링의 異常診斷은 旣存의 Cepstrum解析法보다 有效함을 알았다.

• 대한전자공학회논문지
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• 제26권7호
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• pp.146-156
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• 1989

본 논문에서는 화자인식 시스템의 인식율 향상을 도모하기 위하여 요소의 선택 및 판단 논리의 문제를 고찰하였다. 또한 화자인식 실험을 수행하는 과정에서 기준패턴의 작성이 인식율에 어떠한 영향을 미치는 가를 아울러 검토해 보았다. LPC, PARCOR 계수, LPC-cepstrum 계수등을 인식 요소로 사용하여 화자확인 오차율을 측정한 결과, 기준 패턴의 작성방법에 관계 없이 LPC-cepstrum계수의 성능이 LPC나 PARCOR 계수의 성능에 비해 우수한 것으로 나타났다. 또 화자인식율을 향상시키기 위하여 일반화된 거리 개념을 도입한 새로운 판단 논리를 제안하였다. 제안된 판단 논리는 기준화자 및 외부화자의 통계적 성질을 동시에 고려하여 각 요소들에 서로 다른 가중치를 둔다는 점이 기존의 방법들에 비해 다르다. 화자적인 실험결과 제안된 판단 논리를 적용한 경우가 기존의 방법들에 비해서 인식율이 향상된 것을 관찰할 수 있었다.

• 말소리와 음성과학
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• 제6권3호
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• pp.63-72
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• 2014

The current study assessed the utility of acoustic analyses the most commonly used in routine clinical voice assessment including perturbation, nonlinear dynamic analysis, and Spectral/Cepstrum analysis based on signal typing of dysphonic voices and investigated their applicability of clinical acoustic analysis methods. A total of 70 dysphonic voice samples were classified with signal typing using narrowband spectrogram. Traditional parameters of %jitter, %shimmer, and signal-to-noise ratio were calculated for the signals using TF32 and correlation dimension(D2) of nonlinear dynamic parameter and spectral/cepstral measures including mean CPP, CPP_sd, CPPf0, CPPf0_sd, L/H ratio, and L/H ratio_sd were also calculated with ADSV(Analysis of Dysphonia in Speech and VoiceTM). Auditory perceptual analysis was performed by two blinded speech-language pathologists with GRBAS. The results showed that nearly periodic Type 1 signals were all functional dysphonia and Type 4 signals were comprised of neurogenic and organic voice disorders. Only Type 1 voice signals were reliable for perturbation analysis in this study. Significant signal typing-related differences were found in all acoustic and auditory-perceptual measures. SNR, CPP, L/H ratio values for Type 4 were significantly lower than those of other voice signals and significant higher %jitter, %shimmer were observed in Type 4 voice signals(p<.001). Additionally, with increase of signal type, D2 values significantly increased and more complex and nonlinear patterns were represented. Nevertheless, voice signals with highly noise component associated with breathiness were not able to obtain D2. In particular, CPP, was highly sensitive with voice quality 'G', 'R', 'B' than any other acoustic measures. Thus, Spectral and cepstral analyses may be applied for more severe dysphonic voices such as Type 4 signals and CPP can be more accurate and predictive acoustic marker in measuring voice quality and severity in dysphonia.

• 대한후두음성언어의학회지
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• 제26권2호
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• pp.117-121
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• 2015

Background : Cepstral analysis which is obtained from Fourier transformation of spectrum has been known to be effective indicator to analyze the voice disorder. To evaluate the voice disorder, phonation of sustained vowel /a/ sound or continuous speech have been used but the former was limited to capture hoarseness properly. This study is aimed to compare the effectiveness in analysis of cepstrum between the sustained vowel /a/ sound and continuous speech. Methods : From March 2012 to December 2014, total 72 patients was enrolled in this study, including 24 unilateral vocal cord palsy, vocal nodule and vocal polyp patients, respectively. The entire patient evaluated their voice quality by VHI (Voice Handicap Index) before and after treatment. Phonation of sustained vowel /a/ sample and continuous speech using the first sentence of autumn paragraph was subjected by cepstral analysis and compare the pre-treatment group and post-treatment group. Results : The measured values of pre and post treatment in CPP-a (cepstral peak prominence in /a/ vowel sound) was 13.80, 13.91 in vocal cord palsy, 16.62, 17.99 in vocal cord nodule, 14.19, 18.50 in vocal cord polyp respectively. Values of CPP-s (cepstral peak prominence in text-based speech) in pre and post treatment was 11.11, 12.09 in vocal cord palsy, 12.11, 14.09 in vocal cord nodule, 12.63, 14.17 in vocal cord polyp. All 72 patients showed subjective improvement in VHI after treatment. CPP-a showed statistical improvement only in vocal polyp group, but CPP-s showed statistical improvement in all three groups (p<0.05). Conclusion : In analysis of cepstrum, text-based analysis is more representative in voice disorder than vowel sound speech. So when the acoustic analysis of voice by cepstrum, both phonation of sustained vowel /a/ sound and text based speech should be performed to obtain more accurate result.

• 제어로봇시스템학회논문지
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• 제21권4호
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• pp.349-355
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• 2015

Underwater robots generally show better performances for tasks than humans under certain underwater constraints such as. high pressure, limited light, etc. To properly diagnose in an underwater environment using remotely operated underwater vehicles, it is important to keep autonomously its own position and orientation in order to avoid additional control efforts. In this paper, we propose an efficient method to assist in the operation for the various disturbances of a remotely operated vehicle for the diagnosis of underwater structures. The conventional AHRS-based bearing estimation system did not work well due to incorrect measurements caused by the hard-iron effect when the robot is approaching a ferromagnetic structure. To overcome this drawback, we propose a sensor fusion algorithm with the camera and AHRS for estimating the pose of the ROV. However, the image information in the underwater environment is often unreliable and blurred by turbidity or suspended solids. Thus, we suggest an efficient method for fusing the vision sensor and the AHRS with a criterion which is the amount of blur in the image. To evaluate the amount of blur, we adopt two methods: one is the quantification of high frequency components using the power spectrum density analysis of 2D discrete Fourier transformed image, and the other is identifying the blur parameter based on cepstrum analysis. We evaluate the performance of the robustness of the visual odometry and blur estimation methods according to the change of light and distance. We verify that the blur estimation method based on cepstrum analysis shows a better performance through the experiments.

• 한국음향학회지
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• 제42권4호
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• pp.298-303
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• 2023

본 연구는 장애음성의 평가에 사용되는 연속발화과제로서 유성음 문장의 임상적 유용성을 알아보기 위한 것이다. 이를 위해, 모음연장발성과제의 음향학적 측정치인 주파수 변동률(jitter percent, jitter), 진폭 변동률(shimmer percent, shimmer), 소음대배음비(Noise to Harmonic Ratio, NHR)와 유성음으로만 이루어진 연속발화과제의 음향학적 측정치로 캡스트럼 분석 측정치인 켑스트럼 피크 현저성(Cepstral Peak Prominence, CPP), 저주파수대고주파수 스펙트럼비(Low/High spectral ratio, L/H ratio)의 상관을 분석하였다. 음성장애 환자 65명을 대상으로 수집된 자료를 분석한 결과, 유성음 문장의 음향학적 측정치인 CPP와 모음연장발성의 측정치인 jitter(r = -.624, p = .000), shimmer (r = -.530, p = .000), NHR(r = -.469, p = .000) 간에 유의한 상관이 나타났다. 이는 유성음 문장의 캡스트럼 측정치가 '연속발화 과제의 변동률 기반 분석 불가능', '분석구간과 길이에 따른 결과차이' 등 언어재활 임상현장이 가지고 있는 장애음성의 음향학적 분석의 제한에 대한 대안으로 유용하게 사용될 수 있음을 시사한다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 추계학술대회논문집
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• pp.109-111
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• 2007

Community Noise has been great concerned in public. A road traffic noise has affected too much damage on quiet living environment. In this paper, the noise barrier effect on the street has been examned. As a tool of the path analyses, a cepstrum analyses of signal processing technique has been implemented.